{"id":"https://openalex.org/W3196757689","doi":"https://doi.org/10.1093/bib/bbab354","title":"Benchmark of filter methods for feature selection in high-dimensional gene expression survival data","display_name":"Benchmark of filter methods for feature selection in high-dimensional gene expression survival data","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3196757689","doi":"https://doi.org/10.1093/bib/bbab354","mag":"3196757689","pmid":"https://pubmed.ncbi.nlm.nih.gov/34498681"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbab354","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab354","pdf_url":"https://academic.oup.com/bib/article-pdf/23/1/bbab354/42229629/bbab354.pdf","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":"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":"hybrid","oa_url":"https://academic.oup.com/bib/article-pdf/23/1/bbab354/42229629/bbab354.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020597364","display_name":"Andrea Bommert","orcid":"https://orcid.org/0000-0002-1005-9351"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andrea Bommert","raw_affiliation_strings":["Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030818102","display_name":"Thomas Welchowski","orcid":"https://orcid.org/0000-0003-2940-647X"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4210093117","display_name":"Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie","ror":"https://ror.org/00hyd8090","country_code":"DE","type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I4210093117"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Welchowski","raw_affiliation_strings":["Institute of Medical Biometry, Informatics and Epidemiology (IMBIE), Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Biometry, Informatics and Epidemiology (IMBIE), Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany","institution_ids":["https://openalex.org/I4210093117","https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031620559","display_name":"Matthias Schmid","orcid":"https://orcid.org/0000-0002-0788-0317"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4210093117","display_name":"Institut f\u00fcr Medizinische Biometrie, Informatik und Epidemiologie","ror":"https://ror.org/00hyd8090","country_code":"DE","type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I4210093117"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Schmid","raw_affiliation_strings":["Institute of Medical Biometry, Informatics and Epidemiology (IMBIE), Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Biometry, Informatics and Epidemiology (IMBIE), Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany","institution_ids":["https://openalex.org/I4210093117","https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075610512","display_name":"J\u00f6rg Rahnenf\u00fchrer","orcid":"https://orcid.org/0000-0002-8947-440X"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Rahnenf\u00fchrer","raw_affiliation_strings":["Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, TU Dortmund University, Vogelpothsweg 87, 44227, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020597364"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":9.1188,"has_fulltext":false,"cited_by_count":169,"citation_normalized_percentile":{"value":0.98820498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991999864578247,"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":0.9991999864578247,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8186562061309814},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7619905471801758},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.7427095770835876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6344174742698669},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.586957573890686},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5415617823600769},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5072383880615234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49154409766197205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4498693645000458},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4461207091808319},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3217303156852722}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8186562061309814},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7619905471801758},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.7427095770835876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344174742698669},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.586957573890686},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5415617823600769},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5072383880615234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49154409766197205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4498693645000458},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4461207091808319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3217303156852722},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","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}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbab354","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab354","pdf_url":"https://academic.oup.com/bib/article-pdf/23/1/bbab354/42229629/bbab354.pdf","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":"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:34498681","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34498681","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},{"id":"pmh:oai:pubmedcentral.nih.gov:8769710","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8769710","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/bbab354","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbab354","pdf_url":"https://academic.oup.com/bib/article-pdf/23/1/bbab354/42229629/bbab354.pdf","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":"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1487321909","https://openalex.org/W1493357981","https://openalex.org/W1495061682","https://openalex.org/W1570622790","https://openalex.org/W1572302037","https://openalex.org/W1678356000","https://openalex.org/W1730693163","https://openalex.org/W1917918477","https://openalex.org/W1962363309","https://openalex.org/W1964042173","https://openalex.org/W1990512452","https://openalex.org/W2004141349","https://openalex.org/W2004655916","https://openalex.org/W2012339972","https://openalex.org/W2017008479","https://openalex.org/W2017337590","https://openalex.org/W2034038739","https://openalex.org/W2038894244","https://openalex.org/W2052825782","https://openalex.org/W2056168656","https://openalex.org/W2063384143","https://openalex.org/W2083542829","https://openalex.org/W2087327261","https://openalex.org/W2102831150","https://openalex.org/W2103333826","https://openalex.org/W2119387367","https://openalex.org/W2127824649","https://openalex.org/W2129925362","https://openalex.org/W2133462743","https://openalex.org/W2134955300","https://openalex.org/W2142594886","https://openalex.org/W2143043751","https://openalex.org/W2149199519","https://openalex.org/W2149454242","https://openalex.org/W2154053567","https://openalex.org/W2155461849","https://openalex.org/W2156504490","https://openalex.org/W2157076315","https://openalex.org/W2157395790","https://openalex.org/W2165580920","https://openalex.org/W2167101736","https://openalex.org/W2180466864","https://openalex.org/W2188333210","https://openalex.org/W2343420905","https://openalex.org/W2582743722","https://openalex.org/W2610184409","https://openalex.org/W2738434210","https://openalex.org/W2741799640","https://openalex.org/W2783801376","https://openalex.org/W2787894218","https://openalex.org/W2791315675","https://openalex.org/W2801897485","https://openalex.org/W2890190333","https://openalex.org/W2925507233","https://openalex.org/W2963306512","https://openalex.org/W2973941913","https://openalex.org/W2996717911","https://openalex.org/W2997674406","https://openalex.org/W2998216295","https://openalex.org/W3009545736","https://openalex.org/W3080895935","https://openalex.org/W3088970574","https://openalex.org/W3097993951","https://openalex.org/W3099478002","https://openalex.org/W3099723433","https://openalex.org/W3100205963","https://openalex.org/W3102027041","https://openalex.org/W3105003467","https://openalex.org/W3126667798","https://openalex.org/W3149195633","https://openalex.org/W3165207183","https://openalex.org/W4214512856","https://openalex.org/W4249247926","https://openalex.org/W4254687493","https://openalex.org/W4285719527","https://openalex.org/W4289236186","https://openalex.org/W4399550735","https://openalex.org/W4399638550","https://openalex.org/W4399638650","https://openalex.org/W4399647672","https://openalex.org/W4399649217","https://openalex.org/W6629638915","https://openalex.org/W6635031778","https://openalex.org/W6675969814","https://openalex.org/W6682496738","https://openalex.org/W6682686508","https://openalex.org/W6682744373","https://openalex.org/W6683024897","https://openalex.org/W6750899311","https://openalex.org/W6785872235","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2380964641","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection":[1,28,94],"is":[2,40],"crucial":[3],"for":[4,13,26,50,82],"the":[5,45,57,64,68,74,77,92,99,112,115,124,130,151],"analysis":[6],"of":[7,47,59,79,160],"high-dimensional":[8,32],"data,":[9],"but":[10],"benchmark":[11],"studies":[12],"data":[14,36],"with":[15,85,114,144],"a":[16,136],"survival":[17,35,125],"outcome":[18],"are":[19],"rare.":[20],"We":[21,55,96],"compare":[22],"14":[23],"filter":[24,48,69,102,107,110,134,152],"methods":[25,49,153],"feature":[27,93,156],"based":[29,154],"on":[30,44,155],"11":[31],"gene":[33],"expression":[34],"sets.":[37],"The":[38],"aim":[39],"to":[41],"provide":[42],"guidance":[43],"choice":[46],"other":[51,105],"researchers":[52],"and":[53,118],"practitioners.":[54],"analyze":[56],"accuracy":[58,88],"predictive":[60,87,146],"models":[61,84,143],"that":[62,98,140],"employ":[63],"features":[65,81,113],"selected":[66,80],"by":[67],"methods.":[70,108],"Also,":[71,127],"we":[72,128,149],"consider":[73],"run":[75],"time,":[76],"number":[78],"fitting":[83,142],"high":[86],"as":[89,91,135],"well":[90],"stability.":[95],"conclude":[97],"simple":[100],"variance":[101,117],"outperforms":[103],"all":[104],"considered":[106],"This":[109],"selects":[111],"largest":[116],"does":[119],"not":[120],"take":[121],"into":[122],"account":[123],"outcome.":[126],"identify":[129],"correlation-adjusted":[131],"regression":[132],"scores":[133],"more":[137],"elaborate":[138],"alternative":[139],"allows":[141],"similar":[145,161],"accuracy.":[147],"Additionally,":[148],"investigate":[150],"rankings,":[157],"finding":[158],"groups":[159],"filters.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":23},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
