{"id":"https://openalex.org/W2088492228","doi":"https://doi.org/10.1109/icassp.2013.6637831","title":"Variable selection for a mixed population applied in proteomics","display_name":"Variable selection for a mixed population applied in proteomics","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2088492228","doi":"https://doi.org/10.1109/icassp.2013.6637831","mag":"2088492228"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6637831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5076142276","display_name":"Faouzi Adjed","orcid":"https://orcid.org/0000-0002-0100-9352"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"F. Adjed","raw_affiliation_strings":["IMS, UMR 5218, University of Bordeaux, Talence, France","IMS, Univ. Bordeaux, Talence, France"],"affiliations":[{"raw_affiliation_string":"IMS, UMR 5218, University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]},{"raw_affiliation_string":"IMS, Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091811958","display_name":"Jean\u2010Fran\u00e7ois Giovannelli","orcid":"https://orcid.org/0000-0002-0372-9329"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-F. Giovannelli","raw_affiliation_strings":["IMS, UMR 5218, University of Bordeaux, Talence, France","IMS, Univ. Bordeaux, Talence, France"],"affiliations":[{"raw_affiliation_string":"IMS, UMR 5218, University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]},{"raw_affiliation_string":"IMS, Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028019403","display_name":"Audrey Giremus","orcid":"https://orcid.org/0000-0003-0585-4243"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Giremus","raw_affiliation_strings":["IMS, UMR 5218, University of Bordeaux, Talence, France","IMS, Univ. Bordeaux, Talence, France"],"affiliations":[{"raw_affiliation_string":"IMS, UMR 5218, University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]},{"raw_affiliation_string":"IMS, Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027270450","display_name":"Noura Dridi","orcid":"https://orcid.org/0000-0002-8570-8870"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Dridi","raw_affiliation_strings":["IMS, UMR 5218, University of Bordeaux, Talence, France","IMS, Univ. Bordeaux, Talence, France"],"affiliations":[{"raw_affiliation_string":"IMS, UMR 5218, University of Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]},{"raw_affiliation_string":"IMS, Univ. Bordeaux, Talence, France","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189","https://openalex.org/I15057530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024115416","display_name":"Pascal Szacherski","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Szacherski","raw_affiliation_strings":["Commissariat a l'energie atomique et aux energies alternatives Siege administratif, Gif-sur-Yvette, \u00c3\u017dle-de-France, FR","Leti, CEA, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"Commissariat a l'energie atomique et aux energies alternatives Siege administratif, Gif-sur-Yvette, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I2738703131"]},{"raw_affiliation_string":"Leti, CEA, Grenoble, France","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I3020098449","https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076142276"],"corresponding_institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210157089","https://openalex.org/I4210160189"],"apc_list":null,"apc_paid":null,"fwci":0.2924,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61707702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1153","last_page":"1157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9919999837875366,"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":0.9919999837875366,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9850000143051147,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6745127439498901},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5653756260871887},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5526978969573975},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5356990694999695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.531875729560852},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5302277207374573},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4795246422290802},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46853581070899963},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45535990595817566},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.44070079922676086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36831095814704895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3299633264541626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31978464126586914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28275036811828613},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07663056254386902}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6745127439498901},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5653756260871887},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5526978969573975},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5356990694999695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.531875729560852},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5302277207374573},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4795246422290802},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46853581070899963},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45535990595817566},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.44070079922676086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36831095814704895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3299633264541626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31978464126586914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28275036811828613},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07663056254386902},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6637831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1543088395","https://openalex.org/W2017008479","https://openalex.org/W2081098333","https://openalex.org/W2110065044","https://openalex.org/W2112994357","https://openalex.org/W2122825543","https://openalex.org/W2142635246","https://openalex.org/W2155677386","https://openalex.org/W2161768644","https://openalex.org/W2168175751","https://openalex.org/W2740788215","https://openalex.org/W3099723433","https://openalex.org/W4246858143","https://openalex.org/W6741727238"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282","https://openalex.org/W2954004777","https://openalex.org/W2949638731","https://openalex.org/W2951102138","https://openalex.org/W4299447939"],"abstract_inverted_index":{"The":[0,60,87,119],"paper":[1,80],"presents":[2],"a":[3,21,39,56,76,84,108,127],"variable":[4],"selection":[5],"method":[6,123],"for":[7],"biomarker":[8],"discovery":[9],"in":[10,24,50,133],"proteomics.":[11],"More":[12],"specifically,":[13],"it":[14],"finds":[15],"the":[16,51,54,63,72,79,90,97,117,122,136],"most":[17,55],"adequate":[18],"variables":[19],"among":[20],"given":[22],"set":[23],"order":[25],"to":[26,82],"discriminate":[27],"between":[28,116],"two":[29],"groups":[30],"(healthy":[31],"and":[32,42,75,104,130],"pathological).":[33],"This":[34],"approach":[35],"is":[36,71,81,92,124],"developped":[37],"within":[38],"Bayesian":[40],"framework":[41],"relies":[43],"on":[44],"an":[45],"optimal":[46],"strategy":[47],"that":[48],"results":[49,132],"choice":[52],"of":[53,62,67,78,89,100,121],"posteriori":[57],"probable":[58],"model.":[59],"calculation":[61],"posterior":[64],"probabilities":[65],"requiresmarginalization":[66],"unknown":[68],"parameters.":[69],"It":[70],"main":[73],"difficulty":[74],"contribution":[77],"provide":[83],"closed-form":[85],"expression.":[86],"originality":[88],"work":[91],"twofold:":[93],"(1)":[94],"we":[95,106],"relax":[96],"standard":[98],"hypothesis":[99],"linear":[101],"regression":[102],"models":[103],"(2)":[105],"present":[107],"multivariate":[109],"test":[110],"which":[111],"directly":[112],"accommodates":[113],"possible":[114],"correlations":[115],"biomarkers.":[118],"effectiveness":[120],"assessed":[125],"through":[126],"simulated":[128],"study":[129],"shows":[131],"accordance":[134],"with":[135],"theoritical":[137],"optimality.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
