{"id":"https://openalex.org/W2011326852","doi":"https://doi.org/10.1109/isbi.2012.6235857","title":"Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares","display_name":"Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2011326852","doi":"https://doi.org/10.1109/isbi.2012.6235857","mag":"2011326852"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5025957487","display_name":"\u00c9dith Le Floch","orcid":"https://orcid.org/0000-0001-8365-9529"},"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Le Floch","raw_affiliation_strings":["CEA, Neurospin, LNAO, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Neurospin, LNAO, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086380306","display_name":"Philippe Pinel","orcid":"https://orcid.org/0000-0001-6945-1369"},"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/I4210143253","display_name":"Cognitive Neuroimaging Lab","ror":"https://ror.org/056wdpc91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210143253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Pinel","raw_affiliation_strings":["INSERM U992, Cognitive Neuroimaging Unit, Neurospin, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INSERM U992, Cognitive Neuroimaging Unit, Neurospin, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210143253","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112467527","display_name":"Arthur Tenenhaus","orcid":null},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Tenenhaus","raw_affiliation_strings":["Supe´lec, Department of Signal Processing and Electronic Systems, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Supe´lec, Department of Signal Processing and Electronic Systems, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074071709","display_name":"Laura Trinchera","orcid":"https://orcid.org/0000-0001-9679-0956"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L. Trinchera","raw_affiliation_strings":["AgroParisTech, UMR518 MIA, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech, UMR518 MIA, Paris, France","institution_ids":["https://openalex.org/I22248866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069918313","display_name":"Jean\u2010Baptiste Poline","orcid":"https://orcid.org/0000-0002-9794-749X"},"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. B. Poline","raw_affiliation_strings":["CEA, Neurospin, LNAO, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Neurospin, LNAO, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078842273","display_name":"Vincent Frouin","orcid":"https://orcid.org/0000-0001-9360-6623"},"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"V. Frouin","raw_affiliation_strings":["CEA, Neurospin, LNAO, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Neurospin, LNAO, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007095962","display_name":"\u00c9douard Duchesnay","orcid":"https://orcid.org/0000-0002-4073-3490"},"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Duchesnay","raw_affiliation_strings":["CEA, Neurospin, LNAO, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, Neurospin, LNAO, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1344,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51618909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"58","issue":null,"first_page":"1503","last_page":"1506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9990000128746033,"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":0.9990000128746033,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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":0.9904999732971191,"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/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.7420686483383179},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.725072979927063},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7004507780075073},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6246835589408875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.605901300907135},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5512460470199585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5295387506484985},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5073809027671814},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.48830461502075195},{"id":"https://openalex.org/keywords/imaging-genetics","display_name":"Imaging genetics","score":0.4830789864063263},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.4601690173149109},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4506549537181854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4320236146450043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3931233286857605},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.38053053617477417},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2736181616783142},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21644467115402222},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09999951720237732}],"concepts":[{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.7420686483383179},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.725072979927063},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7004507780075073},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6246835589408875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605901300907135},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5512460470199585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5295387506484985},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5073809027671814},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.48830461502075195},{"id":"https://openalex.org/C18183760","wikidata":"https://www.wikidata.org/wiki/Q6002833","display_name":"Imaging genetics","level":3,"score":0.4830789864063263},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.4601690173149109},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4506549537181854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4320236146450043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3931233286857605},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.38053053617477417},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2736181616783142},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21644467115402222},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09999951720237732},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W3644042","https://openalex.org/W1507796634","https://openalex.org/W1969435618","https://openalex.org/W1982516880","https://openalex.org/W1993507775","https://openalex.org/W2011326852","https://openalex.org/W2025341678","https://openalex.org/W2069552222","https://openalex.org/W2105781106","https://openalex.org/W2110496823","https://openalex.org/W2113506774","https://openalex.org/W2120742957","https://openalex.org/W2135046866","https://openalex.org/W2139610547","https://openalex.org/W2154347346","https://openalex.org/W4237723258","https://openalex.org/W6630485486"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W3211783303","https://openalex.org/W1975561281","https://openalex.org/W1881188068"],"abstract_inverted_index":{"Brain":[0],"imaging":[1],"is":[2,29,128],"increasingly":[3],"recognised":[4],"as":[5],"an":[6],"intermediate":[7],"pheno-type":[8],"in":[9,60,86],"the":[10,13,35,93,115],"understanding":[11],"of":[12,37,66,75,100,117,138,143],"complex":[14],"path":[15],"between":[16,135],"genetics":[17],"and":[18,55,104,120,127,140],"behavioural":[19],"or":[20,110],"clinical":[21],"phenotypes.":[22],"In":[23],"this":[24],"context,":[25],"a":[26,64,73,97,132,136,141,148],"first":[27],"goal":[28],"to":[30,33,62,130],"propose":[31,96],"methods":[32,91],"identify":[34,63],"part":[36],"genetic":[38],"variability":[39],"that":[40,114],"explains":[41],"some":[42],"neuroimaging":[43,76],"variability.":[44],"Here,":[45],"we":[46,95],"investigate":[47],"multi-variate":[48,90],"methods,":[49],"Partial":[50],"Least":[51],"Squares":[52],"(PLS)":[53],"regression":[54],"Canonical":[56],"Correlation":[57],"Analysis":[58],"(CCA),":[59],"order":[61],"set":[65,74,137,142],"Single":[67],"Nucleotide":[68],"Polymorphisms":[69],"(SNPs)":[70],"covarying":[71],"with":[72,108],"phenotypes":[77],"derived":[78],"from":[79],"functional":[80],"Magnetic":[81],"Resonance":[82],"Imaging":[83],"(fMRI).":[84],"Because":[85],"such":[87],"high-dimensional":[88],"settings":[89],"overfit":[92],"data,":[94],"comparison":[98],"study":[99],"several":[101],"dimension":[102],"reduction":[103],"regularisation":[105],"strategies":[106,126],"combined":[107],"PLS":[109,122],"CCA.":[111],"We":[112],"demonstrate":[113],"combination":[116],"univariate":[118],"filtering":[119],"sparse":[121],"outperforms":[123],"all":[124],"other":[125],"able":[129],"extract":[131],"significant":[133],"link":[134],"SNPs":[139],"brain":[144],"regions":[145],"activated":[146],"during":[147],"reading":[149],"task.":[150]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}