{"id":"https://openalex.org/W2007485418","doi":"https://doi.org/10.1109/bibe.2012.6399649","title":"Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task","display_name":"Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2007485418","doi":"https://doi.org/10.1109/bibe.2012.6399649","mag":"2007485418"},"language":"en","primary_location":{"id":"doi:10.1109/bibe.2012.6399649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2012.6399649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 12th International Conference on Bioinformatics &amp; Bioengineering (BIBE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5087602574","display_name":"David Dernoncourt","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210092322","display_name":"Centre de Recherche des Cordeliers","ror":"https://ror.org/00dmms154","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I204730241","https://openalex.org/I39804081","https://openalex.org/I4210092322"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"David Dernoncourt","raw_affiliation_strings":["Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, Equipe 7, Centre de Recherches des Cordeliers, Paris, France","Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, \u00c9quipe 7, Centre de Recherches des Cordeliers, 75006, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, Equipe 7, Centre de Recherches des Cordeliers, Paris, France","institution_ids":["https://openalex.org/I4210092322","https://openalex.org/I154526488"]},{"raw_affiliation_string":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, \u00c9quipe 7, Centre de Recherches des Cordeliers, 75006, Paris, France","institution_ids":["https://openalex.org/I4210092322","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008999121","display_name":"Blaise Hanczar","orcid":"https://orcid.org/0000-0002-5606-8296"},"institutions":[{"id":"https://openalex.org/I110736937","display_name":"D\u00e9l\u00e9gation Paris 5","ror":"https://ror.org/02e0y6e06","country_code":"FR","type":"government","lineage":["https://openalex.org/I110736937","https://openalex.org/I154526488"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4403386760","display_name":"Laboratoire Informatique Paris Descartes","ror":"https://ror.org/04s80ef73","country_code":"FR","type":"facility","lineage":["https://openalex.org/I204730241","https://openalex.org/I4403386760"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Blaise Hanczar","raw_affiliation_strings":["LIPADE, Universit\u00e9 Paris Descartes, Paris, France","LIPADE, Universit\u00e9 Paris Descartes, 45 rue des Saint-P\u00e8res, Paris, F-75006 France#TAB#"],"affiliations":[{"raw_affiliation_string":"LIPADE, Universit\u00e9 Paris Descartes, Paris, France","institution_ids":["https://openalex.org/I110736937","https://openalex.org/I204730241","https://openalex.org/I4403386760"]},{"raw_affiliation_string":"LIPADE, Universit\u00e9 Paris Descartes, 45 rue des Saint-P\u00e8res, Paris, F-75006 France#TAB#","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I110736937","https://openalex.org/I4403386760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088630634","display_name":"Jean\u2010Daniel Zucker","orcid":"https://orcid.org/0000-0002-5597-7922"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210092322","display_name":"Centre de Recherche des Cordeliers","ror":"https://ror.org/00dmms154","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I204730241","https://openalex.org/I39804081","https://openalex.org/I4210092322"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Daniel Zucker","raw_affiliation_strings":["Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, Equipe 7, Centre de Recherches des Cordeliers, Paris, France","Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, \u00c9quipe 7, Centre de Recherches des Cordeliers, 75006, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, Equipe 7, Centre de Recherches des Cordeliers, Paris, France","institution_ids":["https://openalex.org/I4210092322","https://openalex.org/I154526488"]},{"raw_affiliation_string":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U872, Nutriomique, \u00c9quipe 7, Centre de Recherches des Cordeliers, 75006, Paris, France","institution_ids":["https://openalex.org/I4210092322","https://openalex.org/I154526488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087602574"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210092322"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07349151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"286","issue":null,"first_page":"350","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9891999959945679,"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":0.6835651397705078},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6625677347183228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.632987380027771},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6289178729057312},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6165947914123535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124153733253479},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.573810875415802},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5377175807952881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5102641582489014},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47698599100112915},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33209356665611267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28784894943237305},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22330278158187866}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6835651397705078},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6625677347183228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.632987380027771},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6289178729057312},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6165947914123535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124153733253479},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.573810875415802},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5377175807952881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5102641582489014},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47698599100112915},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33209356665611267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28784894943237305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22330278158187866}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibe.2012.6399649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe.2012.6399649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 12th International Conference on Bioinformatics &amp; Bioengineering (BIBE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W7299809","https://openalex.org/W144440563","https://openalex.org/W1485545181","https://openalex.org/W1532267947","https://openalex.org/W1973714356","https://openalex.org/W2021560851","https://openalex.org/W2040280971","https://openalex.org/W2096467860","https://openalex.org/W2097413644","https://openalex.org/W2097554668","https://openalex.org/W2109363337","https://openalex.org/W2146739527","https://openalex.org/W2148055636","https://openalex.org/W2156647247","https://openalex.org/W2160450758","https://openalex.org/W2185572869","https://openalex.org/W3124986623","https://openalex.org/W6605866200"],"related_works":["https://openalex.org/W2114217318","https://openalex.org/W2794812819","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W3036945320","https://openalex.org/W2370263288","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W2169311637","https://openalex.org/W3192451249"],"abstract_inverted_index":{"Gene":[0],"selection":[1,24,64,92,108,132],"is":[2,20,30,53],"a":[3,8,54,122],"crucial":[4,55],"step":[5],"when":[6],"building":[7],"classifier":[9],"from":[10,37],"microarray":[11],"or":[12],"metagenomic":[13],"data.":[14],"As":[15],"the":[16,22,43,63,79,103,127],"number":[17],"of":[18,81],"observations":[19],"small,":[21],"gene":[23,34],"tends":[25],"to":[26],"be":[27],"unstable.":[28],"It":[29],"common":[31],"that":[32],"two":[33],"subsets,":[35],"obtained":[36],"different":[38],"datasets":[39],"but":[40],"dealing":[41],"with":[42,84,111,115],"same":[44],"classification":[45,105,114],"problem,":[46,56],"do":[47],"not":[48],"overlap":[49],"significantly.":[50],"Although":[51],"it":[52],"few":[57],"works":[58],"have":[59],"been":[60],"done":[61],"on":[62,94],"stability.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,77],"first":[70],"present":[71],"some":[72],"stability":[73],"quantification":[74],"methods,":[75],"then":[76],"study":[78],"variations":[80],"those":[82],"measures":[83],"various":[85],"parameters":[86],"(dimensionality,":[87],"sample":[88],"size,":[89],"feature":[90],"distribution,":[91],"threshold)":[93],"both":[95],"artificial":[96],"and":[97,113,131],"real":[98],"data,":[99],"as":[100,102],"well":[101],"resulting":[104],"performance.":[106],"Feature":[107],"was":[109],"performed":[110],"t-test":[112],"linear":[116],"discriminant":[117],"analysis.":[118],"We":[119],"point":[120],"out":[121],"strong":[123],"empiric":[124],"correlation":[125],"between":[126],"dimensionality/sample":[128],"size":[129],"ratio":[130],"instability.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
