{"id":"https://openalex.org/W2113685289","doi":"https://doi.org/10.1093/bib/bbp016","title":"Development of biomarker classifiers from high-dimensional data","display_name":"Development of biomarker classifiers from high-dimensional data","publication_year":2009,"publication_date":"2009-04-03","ids":{"openalex":"https://openalex.org/W2113685289","doi":"https://doi.org/10.1093/bib/bbp016","mag":"2113685289","pmid":"https://pubmed.ncbi.nlm.nih.gov/19346320"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbp016","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbp016","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":false,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046734058","display_name":"Songjoon Baek","orcid":"https://orcid.org/0000-0002-8452-5167"},"institutions":[{"id":"https://openalex.org/I1304557061","display_name":"National Center for Toxicological Research","ror":"https://ror.org/05jmhh281","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1304557061","https://openalex.org/I1320320070"]},{"id":"https://openalex.org/I1320320070","display_name":"United States Food and Drug Administration","ror":"https://ror.org/034xvzb47","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1320320070"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songjoon Baek","raw_affiliation_strings":["National Center for Toxicological Research, U.S. Food and Drug Administration, USA. jamesj.chen@fda.hhs.gov","National Center for Toxicological Research, U.S. Food and Drug Administration, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Toxicological Research, U.S. Food and Drug Administration, USA. jamesj.chen@fda.hhs.gov","institution_ids":["https://openalex.org/I1304557061","https://openalex.org/I1320320070"]},{"raw_affiliation_string":"National Center for Toxicological Research, U.S. Food and Drug Administration, USA","institution_ids":["https://openalex.org/I1304557061","https://openalex.org/I1320320070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041574564","display_name":"Chen\u2010An Tsai","orcid":"https://orcid.org/0000-0002-7490-4331"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I4210152479","display_name":"Statistical Service","ror":"https://ror.org/05vydvf11","country_code":"CY","type":"government","lineage":["https://openalex.org/I4210152479"]}],"countries":["CY","TW"],"is_corresponding":false,"raw_author_name":"Chen-An Tsai","raw_affiliation_strings":["Chen-An Tsai is an Associate Professor at the China Medical University, Taiwan. His research interests include bioinformatics, biostatistics, statistical machine learning, and the development of statistical approaches for medical data"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chen-An Tsai is an Associate Professor at the China Medical University, Taiwan. His research interests include bioinformatics, biostatistics, statistical machine learning, and the development of statistical approaches for medical data","institution_ids":["https://openalex.org/I184693016","https://openalex.org/I4210152479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051461953","display_name":"James J. Chen","orcid":"https://orcid.org/0000-0001-6967-6349"},"institutions":[{"id":"https://openalex.org/I1299022934","display_name":"United States Department of Health and Human Services","ror":"https://ror.org/033jnv181","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934"]},{"id":"https://openalex.org/I4210152479","display_name":"Statistical Service","ror":"https://ror.org/05vydvf11","country_code":"CY","type":"government","lineage":["https://openalex.org/I4210152479"]}],"countries":["CY","US"],"is_corresponding":false,"raw_author_name":"James J. Chen","raw_affiliation_strings":["James J. Chen is Mathematical Statistician, National Center for Toxicological Research (NCTR), U.S. Food and Drug Administration. He heads the biostatistics program at NCTR. His current research interests are statistical methods for biomarker identification, and statistical modeling for quantitative risk assessment","United States Department of Health and Human Services"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"James J. Chen is Mathematical Statistician, National Center for Toxicological Research (NCTR), U.S. Food and Drug Administration. He heads the biostatistics program at NCTR. His current research interests are statistical methods for biomarker identification, and statistical modeling for quantitative risk assessment","institution_ids":["https://openalex.org/I4210152479"]},{"raw_affiliation_string":"United States Department of Health and Human Services","institution_ids":["https://openalex.org/I1299022934"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":1.8882,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.85434088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"537","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958000183105469,"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":0.9947999715805054,"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/feature-selection","display_name":"Feature selection","score":0.8093266487121582},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7728275060653687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106500267982483},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.6361087560653687},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.5908137559890747},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.5699718594551086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562523603439331},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5281928777694702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49715664982795715},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4479835629463196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41879767179489136},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41066351532936096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3700813353061676}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8093266487121582},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7728275060653687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106500267982483},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.6361087560653687},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.5908137559890747},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.5699718594551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562523603439331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5281928777694702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49715664982795715},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4479835629463196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41879767179489136},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41066351532936096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3700813353061676},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":"D008433","descriptor_name":"Mathematics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008433","descriptor_name":"Mathematics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008433","descriptor_name":"Mathematics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000145","qualifier_name":"classification","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":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbp016","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbp016","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":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:19346320","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19346320","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":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324301","display_name":"China Medical University","ror":"https://ror.org/032d4f246"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W33911032","https://openalex.org/W1480376833","https://openalex.org/W1554944419","https://openalex.org/W1904748516","https://openalex.org/W1965500056","https://openalex.org/W1966701961","https://openalex.org/W1970698820","https://openalex.org/W1978392040","https://openalex.org/W2017337590","https://openalex.org/W2022850344","https://openalex.org/W2040884411","https://openalex.org/W2056262947","https://openalex.org/W2059484857","https://openalex.org/W2066207224","https://openalex.org/W2087684630","https://openalex.org/W2089440068","https://openalex.org/W2091947792","https://openalex.org/W2098184866","https://openalex.org/W2107956883","https://openalex.org/W2108728387","https://openalex.org/W2109103446","https://openalex.org/W2109363337","https://openalex.org/W2116079122","https://openalex.org/W2125012503","https://openalex.org/W2127912512","https://openalex.org/W2138550913","https://openalex.org/W2143426320","https://openalex.org/W2144692687","https://openalex.org/W2147246240","https://openalex.org/W2148462634","https://openalex.org/W2148603752","https://openalex.org/W2150413221","https://openalex.org/W2155612034","https://openalex.org/W2156909104","https://openalex.org/W2158990108","https://openalex.org/W2167689714","https://openalex.org/W2169530276","https://openalex.org/W2911964244","https://openalex.org/W2968627562","https://openalex.org/W3119651796","https://openalex.org/W4237160359","https://openalex.org/W6684513754"],"related_works":["https://openalex.org/W2563096758","https://openalex.org/W4293525103","https://openalex.org/W4386053843","https://openalex.org/W3158004940","https://openalex.org/W2374344280","https://openalex.org/W2345184372","https://openalex.org/W3010923102","https://openalex.org/W2546942002","https://openalex.org/W3200179079","https://openalex.org/W2113685289"],"abstract_inverted_index":{"Recent":[0],"development":[1,10,42],"of":[2,11,24,43,47,95,101,129],"high-throughput":[3,52],"technology":[4],"has":[5],"accelerated":[6],"interest":[7],"in":[8,40,70,93],"the":[9,41,90,96,102,130,133,139,146,151],"molecular":[12],"biomarker":[13,44,49,114],"classifiers":[14,132],"for":[15,26,51,76],"safety":[16],"assessment,":[17],"disease":[18],"diagnostics":[19],"and":[20,22,32,37,60,73,87,99,123],"prognostics,":[21],"prediction":[23],"response":[25],"patient":[27],"assignment.":[28],"This":[29,64],"article":[30,65],"reviews":[31],"evaluates":[33],"some":[34],"important":[35],"aspects":[36],"key":[38],"issues":[39],"classifiers.":[45],"Development":[46],"a":[48,118],"classifier":[50],"data":[53],"involves":[54],"two":[55,107],"components:":[56],"(i)":[57],"model":[58,71],"building":[59,72],"(ii)":[61],"performance":[62,77],"assessment.":[63,78],"focuses":[66],"on":[67,112],"feature":[68,83,104,120,134,147],"selection":[69,84,121],"cross":[74],"validation":[75],"A":[79],"'frequency'":[80],"approach":[81,92,141],"to":[82,89],"is":[85,142],"presented":[86],"compared":[88,110],"'conventional'":[91],"terms":[94],"predictive":[97],"accuracy":[98],"stability":[100],"selected":[103,137,149],"set.":[105],"The":[106],"approaches":[108],"are":[109],"based":[111],"four":[113,131],"classifiers,":[115],"each":[116,128],"with":[117],"different":[119],"method":[122],"well-known":[124],"classification":[125],"algorithm.":[126],"In":[127],"predictor":[135],"set":[136,148],"by":[138,150],"frequency":[140],"more":[143],"stable":[144],"than":[145],"conventional":[152],"approach.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2016-06-24T00:00:00"}
