{"id":"https://openalex.org/W7160389771","doi":"https://doi.org/10.1093/bib/bbag200","title":"Benchmarking computational methods for multi-omics biomarker discovery in cancer","display_name":"Benchmarking computational methods for multi-omics biomarker discovery in cancer","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7160389771","doi":"https://doi.org/10.1093/bib/bbag200","pmid":"https://pubmed.ncbi.nlm.nih.gov/42089753"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbag200","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbag200","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1093/bib/bbag200","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082272390","display_name":"Athan Z. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Athan Z Li","raw_affiliation_strings":["Department of Computer Science, University of Southern California , 1031 Downey Way, Ginsburg Hall, 90089 CA ,"],"raw_orcid":"https://orcid.org/0009-0001-6415-0003","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Southern California , 1031 Downey Way, Ginsburg Hall, 90089 CA ,","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012969471","display_name":"Yuxuan Du","orcid":"https://orcid.org/0000-0002-0568-3838"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxuan Du","raw_affiliation_strings":["Department of Electrical Engineering, University of Texas at San Antonio, One UTSA Circle, Biotechnology Science and Engineering Building , 78249 TX ,"],"raw_orcid":"https://orcid.org/0000-0002-0568-3838","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Texas at San Antonio, One UTSA Circle, Biotechnology Science and Engineering Building , 78249 TX ,","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135455262","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-7055-9518"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Department of Computer Science, University of Southern California , 1031 Downey Way, Ginsburg Hall, 90089 CA ,"],"raw_orcid":"https://orcid.org/0000-0002-7055-9518","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Southern California , 1031 Downey Way, Ginsburg Hall, 90089 CA ,","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135423373","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0001-6164-4553"},"institutions":[{"id":"https://openalex.org/I103922791","display_name":"QB3","ror":"https://ror.org/04n1n3n22","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I103922791","https://openalex.org/I180670191","https://openalex.org/I185103710","https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Department of Quantitative and Computational Biology, University of Southern California , 1050 Childs Way, Ray R. Irani Hall, 90089 CA ,"],"raw_orcid":"https://orcid.org/0000-0001-6164-4553","affiliations":[{"raw_affiliation_string":"Department of Quantitative and Computational Biology, University of Southern California , 1050 Childs Way, Ray R. Irani Hall, 90089 CA ,","institution_ids":["https://openalex.org/I103922791"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090182748","display_name":"R Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I103922791","display_name":"QB3","ror":"https://ror.org/04n1n3n22","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I103922791","https://openalex.org/I180670191","https://openalex.org/I185103710","https://openalex.org/I95457486"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruishan Liu","raw_affiliation_strings":["Department of Computer Science, University of Southern California , 1031 Downey Way, Ginsburg Hall, 90089 CA ,","Department of Quantitative and Computational Biology, University of Southern California , 1050 Childs Way, Ray R. Irani Hall, 90089 CA ,"],"raw_orcid":"https://orcid.org/0000-0002-7298-0701","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Southern California , 1031 Downey Way, Ginsburg Hall, 90089 CA ,","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Department of Quantitative and Computational Biology, University of Southern California , 1050 Childs Way, Ray R. Irani Hall, 90089 CA ,","institution_ids":["https://openalex.org/I103922791"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090182748"],"corresponding_institution_ids":["https://openalex.org/I103922791","https://openalex.org/I1174212"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42084896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.7932000160217285,"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"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.7932000160217285,"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/T11297","display_name":"Ferroptosis and cancer prognosis","score":0.06530000269412994,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.027699999511241913,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.8312000036239624},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.7843000292778015},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7351999878883362},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6488000154495239},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6069999933242798},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4740999937057495},{"id":"https://openalex.org/keywords/cancer-biomarkers","display_name":"Cancer biomarkers","score":0.45829999446868896},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.8312000036239624},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.7843000292778015},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7351999878883362},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6488000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6381999850273132},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6069999933242798},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4740999937057495},{"id":"https://openalex.org/C2777002142","wikidata":"https://www.wikidata.org/wiki/Q5031432","display_name":"Cancer biomarkers","level":3,"score":0.45829999446868896},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.44909998774528503},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C21565614","wikidata":"https://www.wikidata.org/wiki/Q12149006","display_name":"Metabolomics","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36579999327659607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3465999960899353},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3319999873638153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3100999891757965},{"id":"https://openalex.org/C157585117","wikidata":"https://www.wikidata.org/wiki/Q158666","display_name":"Omics","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C3019646584","wikidata":"https://www.wikidata.org/wiki/Q2311855","display_name":"Molecular biomarkers","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2781230642","wikidata":"https://www.wikidata.org/wiki/Q492646","display_name":"Targeted therapy","level":3,"score":0.25049999356269836}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000095028","descriptor_name":"Multiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000095028","descriptor_name":"Multiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000095028","descriptor_name":"Multiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000095028","descriptor_name":"Multiomics","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":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbag200","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbag200","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:42089753","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42089753","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":"Briefings in bioinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13147463","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13147463/","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbag200","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbag200","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4409874677658081}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W102065888","https://openalex.org/W1812256879","https://openalex.org/W1967220865","https://openalex.org/W1973435495","https://openalex.org/W1985514943","https://openalex.org/W1988311611","https://openalex.org/W2021581601","https://openalex.org/W2023313804","https://openalex.org/W2069870183","https://openalex.org/W2075901113","https://openalex.org/W2075909160","https://openalex.org/W2080452140","https://openalex.org/W2096283457","https://openalex.org/W2130004766","https://openalex.org/W2131178190","https://openalex.org/W2146511318","https://openalex.org/W2158485828","https://openalex.org/W2166273484","https://openalex.org/W2170376772","https://openalex.org/W2262414037","https://openalex.org/W2287591593","https://openalex.org/W2329659234","https://openalex.org/W2395887422","https://openalex.org/W2416657206","https://openalex.org/W2566723262","https://openalex.org/W2578940675","https://openalex.org/W2583911935","https://openalex.org/W2609684839","https://openalex.org/W2611138580","https://openalex.org/W2614443510","https://openalex.org/W2763670669","https://openalex.org/W2808845633","https://openalex.org/W2834512504","https://openalex.org/W2909472027","https://openalex.org/W2949492942","https://openalex.org/W3005186462","https://openalex.org/W3044914774","https://openalex.org/W3107936762","https://openalex.org/W3108883807","https://openalex.org/W3136451916","https://openalex.org/W3170986249","https://openalex.org/W3199772305","https://openalex.org/W4225116051","https://openalex.org/W4296780664","https://openalex.org/W4301594934","https://openalex.org/W4303423517","https://openalex.org/W4308834893","https://openalex.org/W4323294508","https://openalex.org/W4328052093","https://openalex.org/W4366829848","https://openalex.org/W4383559492","https://openalex.org/W4385491154","https://openalex.org/W4385761397","https://openalex.org/W4387966296","https://openalex.org/W4390500913","https://openalex.org/W4392648032","https://openalex.org/W4392946440","https://openalex.org/W4395954533","https://openalex.org/W4396939663","https://openalex.org/W4399390205","https://openalex.org/W4400392626","https://openalex.org/W4401701386","https://openalex.org/W4404270506","https://openalex.org/W4404646458","https://openalex.org/W4405563164","https://openalex.org/W4411886141"],"related_works":[],"abstract_inverted_index":{"Multi-omics":[0],"profiling":[1],"characterizes":[2],"cancer":[3],"biology":[4],"and":[5,11,58,66,83,87,112,122,145],"supports":[6],"biomarker":[7,18,42,80,96,156,185],"discovery":[8],"for":[9,46,161,184],"prognosis":[10],"therapy":[12],"selection.":[13],"Although":[14],"numerous":[15],"computational":[16],"multi-omics":[17,189],"identification":[19,81,186],"methods":[20,61,135,175,183],"have":[21],"been":[22,33],"proposed,":[23],"their":[24],"ability":[25],"to":[26,139,169,172],"identify":[27],"clinically":[28],"relevant":[29],"biomarkers":[30,68],"has":[31],"not":[32],"systematically":[34,51],"evaluated,":[35],"leaving":[36],"it":[37],"unclear":[38],"whether":[39],"the":[40,90,101,126,177],"resulting":[41],"nominations":[43],"are":[44],"reliable":[45],"downstream":[47],"validation.":[48],"Here,":[49],"we":[50,153,165],"benchmark":[52,173,192],"20":[53,178],"representative":[54],"statistical,":[55],"machine":[56],"learning":[57,60],"deep":[59],"using":[62],"curated":[63],"gold-standard":[64],"prognostic":[65],"therapeutic":[67],"across":[69],"five":[70],"real-world":[71],"datasets.":[72,190],"We":[73,132],"evaluate":[74,134],"performance":[75],"in":[76],"terms":[77],"of":[78,103,116,128],"both":[79],"accuracy":[82],"stability.":[84],"Overall,":[85],"DeePathNet":[86],"DeepKEGG":[88],"achieve":[89],"best":[91],"performance.":[92],"Across":[93],"methods,":[94,152],"effective":[95,113],"recovery":[97],"is":[98,193],"associated":[99],"with":[100,142],"integration":[102],"biological":[104],"knowledge,":[105],"global":[106],"feature":[107,110],"interactions,":[108],"multivariate":[109],"attribution,":[111],"regularization.":[114],"Analysis":[115],"omics":[117,130],"type":[118],"contributions":[119],"reveals":[120],"method-":[121],"modality-specific":[123],"biases,":[124],"highlighting":[125],"importance":[127],"broader":[129],"integration.":[131],"further":[133],"on":[136,187],"simulated":[137],"datasets":[138],"probe":[140],"sensitivity":[141],"controlled":[143],"signal":[144],"noise.":[146],"By":[147],"aggregating":[148],"results":[149],"from":[150],"top-performing":[151],"construct":[154],"consensus":[155],"panels":[157],"that":[158],"nominate":[159],"candidates":[160],"potential":[162],"investigations.":[163],"Finally,":[164],"provide":[166],"user-friendly":[167],"interfaces":[168],"allow":[170],"researchers":[171],"new":[174],"against":[176],"baselines":[179],"or":[180],"apply":[181],"selected":[182],"custom":[188],"Our":[191],"publicly":[194],"available":[195],"at":[196],"https://github.com/athanzli/CancerMOBI-Bench.":[197]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2026-05-07T00:00:00"}
