{"id":"https://openalex.org/W3010719259","doi":"https://doi.org/10.1186/s12859-020-3344-x","title":"Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery","display_name":"Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3010719259","doi":"https://doi.org/10.1186/s12859-020-3344-x","mag":"3010719259","pmid":"https://pubmed.ncbi.nlm.nih.gov/32164534"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-020-3344-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-3344-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-3344-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-3344-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108078690","display_name":"Xin Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Guan","raw_affiliation_strings":["College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA","Intel Corporation, Chandler, AZ, 85226, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Intel Corporation, Chandler, AZ, 85226, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002544391","display_name":"George C. Runger","orcid":"https://orcid.org/0000-0001-9460-6983"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Runger","raw_affiliation_strings":["College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418924","display_name":"Li Liu","orcid":"https://orcid.org/0000-0003-4002-7497"},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]},{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Liu","raw_affiliation_strings":["Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA. liliu@asu.edu","College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA. liliu@asu.edu","Department of Neurology, Mayo Clinic, Scottsdale, AZ, 85259, USA. liliu@asu.edu","College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA. liliu@asu.edu","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA. liliu@asu.edu","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Department of Neurology, Mayo Clinic, Scottsdale, AZ, 85259, USA. liliu@asu.edu","institution_ids":["https://openalex.org/I4210125099"]},{"raw_affiliation_string":"College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100418924"],"corresponding_institution_ids":["https://openalex.org/I4210125099","https://openalex.org/I55732556"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.751,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.84742351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"21","issue":"S2","first_page":"77","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.3215000033378601,"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/T10885","display_name":"Gene expression and cancer classification","score":0.3215000033378601,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.1444000005722046,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.09449999779462814,"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/computer-science","display_name":"Computer science","score":0.7175504565238953},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.71640944480896},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7157630324363708},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.700873613357544},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6883690357208252},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.625590443611145},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5665921568870544},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.551922082901001},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5485055446624756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5299124717712402},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4996945858001709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4487239718437195},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.1546078324317932},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10136154294013977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175504565238953},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.71640944480896},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7157630324363708},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.700873613357544},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6883690357208252},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.625590443611145},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5665921568870544},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.551922082901001},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5485055446624756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5299124717712402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4996945858001709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4487239718437195},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.1546078324317932},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10136154294013977},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-020-3344-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-3344-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-3344-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:32164534","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32164534","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:a851cdc7243a49ebb7c44cc1f74dcb77","is_oa":true,"landing_page_url":"https://doaj.org/article/a851cdc7243a49ebb7c44cc1f74dcb77","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":"BMC Bioinformatics, Vol 21, Iss S2, Pp 1-10 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7068914","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7068914","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":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-020-3344-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-3344-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-3344-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306085","display_name":"U.S. Department of Health and Human Services","ror":"https://ror.org/033jnv181"},{"id":"https://openalex.org/F4320333299","display_name":"Biomedical Advanced Research and Development Authority","ror":"https://ror.org/029y69023"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010719259.pdf","grobid_xml":"https://content.openalex.org/works/W3010719259.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1915506416","https://openalex.org/W1993286543","https://openalex.org/W1997108778","https://openalex.org/W2000359198","https://openalex.org/W2030939727","https://openalex.org/W2036348300","https://openalex.org/W2045164090","https://openalex.org/W2058815839","https://openalex.org/W2083763767","https://openalex.org/W2097360283","https://openalex.org/W2109363337","https://openalex.org/W2113242816","https://openalex.org/W2116514399","https://openalex.org/W2118611167","https://openalex.org/W2142594886","https://openalex.org/W2145617244","https://openalex.org/W2154776925","https://openalex.org/W2165064122","https://openalex.org/W2339573327","https://openalex.org/W2402183197","https://openalex.org/W2409852956","https://openalex.org/W2510437930","https://openalex.org/W2544169599","https://openalex.org/W2567080747","https://openalex.org/W2794844705","https://openalex.org/W2894573839","https://openalex.org/W2949979142","https://openalex.org/W3144756387","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2357854711","https://openalex.org/W4243448361","https://openalex.org/W2054759342","https://openalex.org/W2051700896","https://openalex.org/W1552255772","https://openalex.org/W2111524952","https://openalex.org/W4239551281","https://openalex.org/W4234690372","https://openalex.org/W2103484298","https://openalex.org/W2089613537"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1],"biomarker":[2,37,95,312],"discovery,":[3],"applying":[4],"domain":[5,76,115,127,175],"knowledge":[6,68,77,116,128,176,268,297],"is":[7,55,190,290],"an":[8],"effective":[9],"approach":[10],"to":[11,120,146,171,181,191,207,240,244,269,295],"eliminating":[12],"false":[13],"positive":[14],"features,":[15],"prioritizing":[16],"functionally":[17],"impactful":[18],"markers":[19],"and":[20,61,177,203,261,318],"facilitating":[21],"the":[22,35,62,103,158,161,168,183,208,253,266,324],"interpretation":[23],"of":[24,69,114,160,174,185,248,255,273,280,309],"predictive":[25],"signatures.":[26],"Several":[27],"computational":[28],"methods":[29,49,88,226],"have":[30],"been":[31],"developed":[32,102],"that":[33,52,110,197,216],"formulate":[34],"knowledge-based":[36],"discovery":[38],"as":[39,57,265],"a":[40,58,70,130,143,148,193,199,241,271,277,291,306,320],"feature":[41,122,195,224,302],"selection":[42,225],"problem":[43],"guided":[44,218,227],"by":[45,219,228],"prior":[46,53,92,137,221,230,234,267],"information.":[47,84,235],"These":[48],"often":[50],"require":[51],"information":[54,93,138,222,231],"encoded":[56],"single":[59],"score":[60],"algorithms":[63],"are":[64],"optimized":[65],"for":[66,94,301],"biological":[67,209],"specific":[71],"type.":[72],"However,":[73],"in":[74,129,142,311,323],"practice,":[75],"from":[78,117,139,298],"diverse":[79],"resources":[80],"can":[81,89],"provide":[82],"complementary":[83],"But":[85],"no":[86,233],"current":[87],"integrate":[90],"heterogeneous":[91],"discovery.":[96],"To":[97],"address":[98],"this":[99,316],"problem,":[100],"we":[101,214],"Know-GRRF":[104,125,165,217,289],"(know-guided":[105],"regularized":[106,131],"random":[107,132,162],"forest)":[108],"method":[109,294,317],"enables":[111],"dynamic":[112],"incorporation":[113],"multiple":[118,140,299],"disciplines":[119],"guide":[121],"selection.":[123,303],"RESULTS:":[124],"embeds":[126],"forest":[133],"framework.":[134],"It":[135,304],"combines":[136],"domains":[141,300],"linear":[144],"model":[145],"derive":[147],"composite":[149],"score,":[150],"which,":[151],"together":[152],"with":[153,282],"other":[154,178],"tuning":[155,179],"parameters,":[156],"controls":[157],"regularization":[159],"forests":[163],"model.":[164],"concurrently":[166],"optimizes":[167],"weight":[169],"given":[170],"each":[172],"type":[173],"parameters":[180],"minimize":[182],"AIC":[184],"out-of-bag":[186],"predictions.":[187],"The":[188],"objective":[189],"select":[192],"compact":[194,278],"subset":[196],"has":[198,305],"high":[200],"discriminative":[201],"power":[202],"strong":[204],"functional":[205],"relevance":[206],"phenotype.":[210],"Via":[211],"rigorous":[212],"simulations,":[213],"show":[215],"multiple-domain":[220],"outperforms":[223],"single-domain":[229],"or":[232],"We":[236,251,275,314],"then":[237],"applied":[238],"Known-GRRF":[239],"real-world":[242],"study":[243],"identify":[245],"prognostic":[246],"biomarkers":[247,281],"prostate":[249],"cancers.":[250],"evaluated":[252],"combination":[254],"cancer-related":[256],"gene":[257],"annotations,":[258],"evolutionary":[259],"conservation":[260],"pre-computed":[262],"statistical":[263],"scores":[264],"assemble":[270],"panel":[272],"biomarkers.":[274],"discovered":[276],"set":[279],"significant":[283],"improvements":[284],"on":[285],"prediction":[286],"accuracies.":[287],"CONCLUSIONS:":[288],"powerful":[292],"novel":[293],"incorporate":[296],"broad":[307],"range":[308],"applications":[310],"discoveries.":[313],"implemented":[315],"released":[319],"KnowGRRF":[321],"package":[322],"R/CRAN":[325],"archive.":[326]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
