{"id":"https://openalex.org/W2072392017","doi":"https://doi.org/10.1145/2616498.2616515","title":"Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data","display_name":"Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2072392017","doi":"https://doi.org/10.1145/2616498.2616515","mag":"2072392017"},"language":"en","primary_location":{"id":"doi:10.1145/2616498.2616515","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2616498.2616515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment","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/A5103218500","display_name":"Jingwen Yan","orcid":"https://orcid.org/0000-0001-9066-4908"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingwen Yan","raw_affiliation_strings":["School of Informatics and Computing, Indiana University"],"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323470","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0002-6331-6876"},"institutions":[{"id":"https://openalex.org/I901403493","display_name":"NuVasive (United States)","ror":"https://ror.org/036dqy506","country_code":"US","type":"company","lineage":["https://openalex.org/I901403493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["Pervasive Technology Institute, Indiana University"],"affiliations":[{"raw_affiliation_string":"Pervasive Technology Institute, Indiana University","institution_ids":["https://openalex.org/I901403493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038203074","display_name":"Lei Du","orcid":"https://orcid.org/0000-0002-6698-9814"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Du","raw_affiliation_strings":["Department of Radiology and Imaging Sciences, Indiana University"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Imaging Sciences, Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008307990","display_name":"Eric Wernert","orcid":"https://orcid.org/0000-0002-0922-2553"},"institutions":[{"id":"https://openalex.org/I901403493","display_name":"NuVasive (United States)","ror":"https://ror.org/036dqy506","country_code":"US","type":"company","lineage":["https://openalex.org/I901403493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Wernert","raw_affiliation_strings":["Pervasive Technology Institute, Indiana University"],"affiliations":[{"raw_affiliation_string":"Pervasive Technology Institute, Indiana University","institution_ids":["https://openalex.org/I901403493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026257338","display_name":"Andrew J. Saykin","orcid":"https://orcid.org/0000-0002-1376-8532"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew J. Saykin","raw_affiliation_strings":["Department of Radiology and Imaging Sciences, Indiana University"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Imaging Sciences, Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333320","display_name":"Li Shen","orcid":"https://orcid.org/0000-0002-5443-0503"},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["Department of Radiology and Imaging Sciences, Indiana University"],"affiliations":[{"raw_affiliation_string":"Department of Radiology and Imaging Sciences, Indiana University","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103218500"],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":0.4578,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71143504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.9984999895095825,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9966999888420105,"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":0.9961000084877014,"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/imaging-genetics","display_name":"Imaging genetics","score":0.8490546941757202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7345250844955444},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5497924089431763},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5321829319000244},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5006654262542725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49305078387260437},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4635327160358429},{"id":"https://openalex.org/keywords/alzheimers-disease-neuroimaging-initiative","display_name":"Alzheimer's Disease Neuroimaging Initiative","score":0.43085113167762756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4092088043689728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36278027296066284},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.32098090648651123},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.22814205288887024},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15595883131027222}],"concepts":[{"id":"https://openalex.org/C18183760","wikidata":"https://www.wikidata.org/wiki/Q6002833","display_name":"Imaging genetics","level":3,"score":0.8490546941757202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7345250844955444},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5497924089431763},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5321829319000244},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5006654262542725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49305078387260437},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4635327160358429},{"id":"https://openalex.org/C2778373026","wikidata":"https://www.wikidata.org/wiki/Q4738819","display_name":"Alzheimer's Disease Neuroimaging Initiative","level":4,"score":0.43085113167762756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4092088043689728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36278027296066284},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.32098090648651123},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.22814205288887024},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15595883131027222},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.0},{"id":"https://openalex.org/C2984915365","wikidata":"https://www.wikidata.org/wiki/Q5141203","display_name":"Cognitive impairment","level":3,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2616498.2616515","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2616498.2616515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W182691100","https://openalex.org/W208317833","https://openalex.org/W1967827763","https://openalex.org/W1979341165","https://openalex.org/W1987482278","https://openalex.org/W1996502644","https://openalex.org/W2004053049","https://openalex.org/W2014988121","https://openalex.org/W2050213988","https://openalex.org/W2069552222","https://openalex.org/W2085791172","https://openalex.org/W2098290597","https://openalex.org/W2105351532","https://openalex.org/W2108297871","https://openalex.org/W2110496823","https://openalex.org/W2120572720","https://openalex.org/W2130017876","https://openalex.org/W2151773637","https://openalex.org/W2162530578","https://openalex.org/W2166348468","https://openalex.org/W2166925272","https://openalex.org/W2384479223"],"related_works":["https://openalex.org/W2755450364","https://openalex.org/W2483130478","https://openalex.org/W336817979","https://openalex.org/W2016777699","https://openalex.org/W2013450123","https://openalex.org/W2259546979","https://openalex.org/W3112573618","https://openalex.org/W2031131415","https://openalex.org/W2980858150","https://openalex.org/W2113580908"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,27],"acquiring":[3],"high":[4],"throughput":[5],"neuroimaging":[6,50],"and":[7,24,49,76,91,137,163,197],"genomics":[8],"data":[9,82,158,167,194],"provide":[10],"exciting":[11],"new":[12,89],"opportunities":[13],"to":[14,36,68,110,149,168],"study":[15],"the":[16,38,66,74,79,119,138,184,198,207],"influence":[17],"of":[18,78,106,132,160],"genetic":[19,41,81],"variation":[20],"on":[21,102,214],"brain":[22,216],"structure":[23],"function.":[25],"Research":[26],"this":[28,95],"emergent":[29],"field,":[30],"known":[31],"as":[32,44],"imaging":[33,80,156,217],"genetics,":[34],"aims":[35],"identify":[37],"association":[39],"between":[40],"variations":[42],"such":[43],"single":[45],"nucleotide":[46],"polymorphisms":[47],"(SNPs)":[48],"quantitative":[51],"traits":[52],"(QTs).":[53],"Sparse":[54],"canonical":[55],"correlation":[56],"analysis":[57,62],"(SCCA)":[58],"is":[59],"a":[60,104,112,177],"bi-multivariate":[61],"method":[63],"that":[64,176,191],"has":[65],"potential":[67],"reveal":[69],"complex":[70],"multi-SNP-multi-QT":[71],"associations.":[72],"However,":[73],"scale":[75],"complexity":[77],"have":[83],"presented":[84],"critical":[85],"computational":[86],"bottlenecks":[87],"requiring":[88],"concepts":[90],"enabling":[92],"tools.":[93],"In":[94,126],"paper,":[96],"we":[97,128,203],"present":[98],"our":[99],"initial":[100],"efforts":[101],"developing":[103],"set":[105],"massively":[107],"parallel":[108,130,195],"strategies":[109],"accelerate":[111,150],"widely":[113],"used":[114],"SCCA":[115,213],"implementation":[116],"provided":[117],"by":[118,183,192],"Penalized":[120],"Multivariate":[121],"Analysis":[122],"(PMA)":[123],"software":[124],"package.":[125],"particular,":[127],"exploit":[129],"packages":[131],"R,":[133],"optimized":[134],"mathematical":[135],"libraries,":[136],"automatic":[139],"offload":[140,199],"model":[141,200],"for":[142,201],"Intel":[143],"Many":[144],"Integrated":[145],"Core":[146],"(MIC)":[147],"architecture":[148],"SCCA.":[151],"We":[152],"create":[153],"several":[154],"simulated":[155],"genetics":[157,218],"sets":[159],"different":[161],"sizes":[162],"use":[164],"these":[165],"synthetic":[166],"perform":[169],"comparative":[170],"study.":[171],"Our":[172],"performance":[173],"evaluation":[174],"demonstrates":[175],"2-fold":[178],"speedup":[179],"can":[180,204],"be":[181],"achieved":[182],"proposed":[185],"acceleration.":[186],"The":[187],"preliminary":[188],"results":[189],"show":[190],"combining":[193],"strategy":[196],"MIC":[202],"significantly":[205],"reduce":[206],"knowledge":[208],"discovery":[209],"timelines":[210],"involving":[211],"applying":[212],"large":[215],"data.":[219]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
