{"id":"https://openalex.org/W2797883881","doi":"https://doi.org/10.1371/journal.pcbi.1006076","title":"Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data","display_name":"Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data","publication_year":2018,"publication_date":"2018-04-10","ids":{"openalex":"https://openalex.org/W2797883881","doi":"https://doi.org/10.1371/journal.pcbi.1006076","mag":"2797883881","pmid":"https://pubmed.ncbi.nlm.nih.gov/29634719"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1006076","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1006076","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006076&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006076&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012408661","display_name":"Travers Ching","orcid":"https://orcid.org/0000-0002-5577-3516"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]},{"id":"https://openalex.org/I4210093646","display_name":"Cancer Center of Hawaii","ror":"https://ror.org/0065jhh26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210093646"]},{"id":"https://openalex.org/I4390039246","display_name":"University of Hawaii Cancer Center","ror":"https://ror.org/00kt3nk56","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4390039246"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Travers Ching","raw_affiliation_strings":["Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America","Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America","institution_ids":["https://openalex.org/I4210093646","https://openalex.org/I117965899","https://openalex.org/I1331384533","https://openalex.org/I4390039246"]},{"raw_affiliation_string":"Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748232","display_name":"Xun Zhu","orcid":"https://orcid.org/0000-0001-9097-7824"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]},{"id":"https://openalex.org/I4210093646","display_name":"Cancer Center of Hawaii","ror":"https://ror.org/0065jhh26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210093646"]},{"id":"https://openalex.org/I4390039246","display_name":"University of Hawaii Cancer Center","ror":"https://ror.org/00kt3nk56","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4390039246"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Zhu","raw_affiliation_strings":["Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America","Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America","institution_ids":["https://openalex.org/I4210093646","https://openalex.org/I117965899","https://openalex.org/I1331384533","https://openalex.org/I4390039246"]},{"raw_affiliation_string":"Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005523854","display_name":"Lana X. Garmire","orcid":"https://orcid.org/0000-0002-4654-2126"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]},{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]},{"id":"https://openalex.org/I4210093646","display_name":"Cancer Center of Hawaii","ror":"https://ror.org/0065jhh26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210093646"]},{"id":"https://openalex.org/I4390039246","display_name":"University of Hawaii Cancer Center","ror":"https://ror.org/00kt3nk56","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I4390039246"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lana X. Garmire","raw_affiliation_strings":["Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America","Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-4654-2126","affiliations":[{"raw_affiliation_string":"Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, United States of America","institution_ids":["https://openalex.org/I4210093646","https://openalex.org/I117965899","https://openalex.org/I1331384533","https://openalex.org/I4390039246"]},{"raw_affiliation_string":"Molecular Biosciences and Bioengineering Graduate Program, University of Hawaii at Manoa, Honolulu, HI, United States of America","institution_ids":["https://openalex.org/I117965899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005523854"],"corresponding_institution_ids":["https://openalex.org/I117965899","https://openalex.org/I1331384533","https://openalex.org/I4210093646","https://openalex.org/I4390039246"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":12.4016,"has_fulltext":true,"cited_by_count":417,"citation_normalized_percentile":{"value":0.99426762,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"e1006076","last_page":"e1006076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6881580352783203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6674356460571289},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.6274644732475281},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5944517254829407},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.49578532576560974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49548518657684326},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.42382919788360596},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41065657138824463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.370606392621994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3650553822517395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09569114446640015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07333880662918091},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06872713565826416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881580352783203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6674356460571289},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.6274644732475281},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5944517254829407},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.49578532576560974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49548518657684326},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.42382919788360596},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41065657138824463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.370606392621994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3650553822517395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09569114446640015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07333880662918091},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06872713565826416},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030561","descriptor_name":"Databases, Nucleic Acid","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030561","descriptor_name":"Databases, Nucleic Acid","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030561","descriptor_name":"Databases, Nucleic Acid","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D030561","descriptor_name":"Databases, Nucleic Acid","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053208","descriptor_name":"Kaplan-Meier Estimate","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1371/journal.pcbi.1006076","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1006076","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006076&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:29634719","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29634719","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:RePEc:plo:pcbi00:1006076","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006076","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:5c5445df31094e5a9e4e7f991fdca858","is_oa":true,"landing_page_url":"https://doaj.org/article/5c5445df31094e5a9e4e7f991fdca858","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 14, Iss 4, p e1006076 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4854971","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5909924","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/6122363","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/Cox-nnet_An_artificial_neural_network_method_for_prognosis_prediction_of_high-throughput_omics_data/6122363","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},{"id":"pmh:oai:pubmedcentral.nih.gov:5909924","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5909924","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1006076","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1006076","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006076&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1585917786","display_name":null,"funder_award_id":"R01 LM012373","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1674372321","display_name":null,"funder_award_id":"P20 COBRE GM103457","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2711154378","display_name":null,"funder_award_id":"P20 COBRE GM103457","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4011466185","display_name":null,"funder_award_id":"HD084633","funder_id":"https://openalex.org/F4320337364","funder_display_name":"National Institute of Child Health and Human Development"},{"id":"https://openalex.org/G4066467814","display_name":null,"funder_award_id":"R01 LM012373","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G4681754827","display_name":null,"funder_award_id":"LM012373","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G5359980966","display_name":null,"funder_award_id":"14ADVC-64566","funder_id":"https://openalex.org/F4320306371","funder_display_name":"Hawaii Community Foundation"},{"id":"https://openalex.org/G5975542188","display_name":null,"funder_award_id":"GM103457","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G6610026935","display_name":null,"funder_award_id":"K01ES025434","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6785736458","display_name":null,"funder_award_id":"R01 LM012373","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G7028968550","display_name":null,"funder_award_id":"K01ES025434","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G7269221100","display_name":null,"funder_award_id":"HD084633","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7715435436","display_name":null,"funder_award_id":"R01 HD084633","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8604317771","display_name":null,"funder_award_id":"LM012373","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320306371","display_name":"Hawaii Community Foundation","ror":"https://ror.org/03jwgbj27"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337361","display_name":"National Institute of Environmental Health Sciences","ror":"https://ror.org/00j4k1h63"},{"id":"https://openalex.org/F4320337364","display_name":"National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W44024118","https://openalex.org/W297966986","https://openalex.org/W1019830208","https://openalex.org/W1533618852","https://openalex.org/W1538131130","https://openalex.org/W1570622790","https://openalex.org/W1927527067","https://openalex.org/W1965137347","https://openalex.org/W1972283434","https://openalex.org/W1974091059","https://openalex.org/W1980287119","https://openalex.org/W1986546598","https://openalex.org/W1995341919","https://openalex.org/W2011059713","https://openalex.org/W2018867485","https://openalex.org/W2024685798","https://openalex.org/W2027191058","https://openalex.org/W2028263171","https://openalex.org/W2045599972","https://openalex.org/W2052825782","https://openalex.org/W2060639513","https://openalex.org/W2070027802","https://openalex.org/W2076651258","https://openalex.org/W2095705004","https://openalex.org/W2097360283","https://openalex.org/W2108191500","https://openalex.org/W2108563286","https://openalex.org/W2108673310","https://openalex.org/W2116095691","https://openalex.org/W2129925362","https://openalex.org/W2130410032","https://openalex.org/W2149144946","https://openalex.org/W2159482845","https://openalex.org/W2165073001","https://openalex.org/W2187089797","https://openalex.org/W2298079736","https://openalex.org/W2322921974","https://openalex.org/W2384495648","https://openalex.org/W2466146321","https://openalex.org/W2472544934","https://openalex.org/W2472844794","https://openalex.org/W2618245351","https://openalex.org/W2741564801","https://openalex.org/W2919115771","https://openalex.org/W2951934944","https://openalex.org/W3099478002","https://openalex.org/W3106108064","https://openalex.org/W4294216483","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W4256576576","https://openalex.org/W3090384609","https://openalex.org/W3194013178","https://openalex.org/W4249086404","https://openalex.org/W4236464082","https://openalex.org/W2790019364","https://openalex.org/W2136583354","https://openalex.org/W2212119398","https://openalex.org/W2402455041","https://openalex.org/W3136989197"],"abstract_inverted_index":{"Artificial":[0],"neural":[1],"networks":[2],"(ANN)":[3],"are":[4],"computing":[5,13],"architectures":[6],"with":[7,126],"many":[8],"interconnections":[9],"of":[10],"simple":[11],"neural-inspired":[12],"elements,":[14],"and":[15,26,71,78,90,118],"have":[16,29,111],"been":[17],"applied":[18],"to":[19,37,61],"biomedical":[20],"fields":[21],"such":[22],"as":[23],"imaging":[24],"analysis":[25],"diagnosis.":[27],"We":[28],"developed":[30,112],"a":[31,113],"new":[32,114],"ANN":[33],"framework":[34],"called":[35],"Cox-nnet":[36,52,80],"predict":[38],"patient":[39],"prognosis":[40,120],"from":[41,95],"high":[42,123],"throughput":[43,124],"transcriptomics":[44],"data.":[45],"In":[46,108],"10":[47],"TCGA":[48],"RNA-Seq":[49],"data":[50],"sets,":[51],"achieves":[53],"the":[54,88,96],"same":[55],"or":[56],"better":[57],"predictive":[58],"accuracy":[59],"compared":[60],"other":[62],"methods,":[63],"including":[64],"Cox-proportional":[65],"hazards":[66],"regression":[67],"(with":[68],"LASSO,":[69],"ridge,":[70],"mimimax":[72],"concave":[73],"penalty),":[74],"Random":[75],"Forests":[76],"Survival":[77],"CoxBoost.":[79],"also":[81],"reveals":[82],"richer":[83],"biological":[84,128],"information,":[85],"at":[86,136],"both":[87],"pathway":[89],"gene":[91],"levels.":[92],"The":[93,130],"outputs":[94],"hidden":[97],"layer":[98],"node":[99],"provide":[100],"an":[101],"alternative":[102],"approach":[103],"for":[104,116],"survival-sensitive":[105],"dimension":[106],"reduction.":[107],"summary,":[109],"we":[110],"method":[115],"accurate":[117],"efficient":[119],"prediction":[121],"on":[122],"data,":[125],"functional":[127],"insights.":[129],"source":[131],"code":[132],"is":[133],"freely":[134],"available":[135],"https://github.com/lanagarmire/cox-nnet.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":70},{"year":2024,"cited_by_count":55},{"year":2023,"cited_by_count":62},{"year":2022,"cited_by_count":63},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":50},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}