{"id":"https://openalex.org/W1972238714","doi":"https://doi.org/10.1109/bibm.2012.6392674","title":"Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs","display_name":"Bio marker identification for diagnosis of schizophrenia with integrated analysis of fMRI and SNPs","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1972238714","doi":"https://doi.org/10.1109/bibm.2012.6392674","mag":"1972238714"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2012.6392674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2012.6392674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Bioinformatics and Biomedicine","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/A5079946688","display_name":"Hongbao Cao","orcid":"https://orcid.org/0000-0001-6591-9518"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongbao Cao","raw_affiliation_strings":["Department of Biomedicai Engineering, New Orleans, LA, 70118 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedicai Engineering, New Orleans, LA, 70118 USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101635490","display_name":"Dongdong Lin","orcid":"https://orcid.org/0000-0001-5645-4798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongdong Lin","raw_affiliation_strings":["Department of Biomedicai Engineering, New Orleans, LA, 70118 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedicai Engineering, New Orleans, LA, 70118 USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023726254","display_name":"Junbo Duan","orcid":"https://orcid.org/0000-0001-7170-3772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junbo Duan","raw_affiliation_strings":["Department of Biomedicai Engineering, New Orleans, LA, 70118 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedicai Engineering, New Orleans, LA, 70118 USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339106","display_name":"Yu\u2010Ping Wang","orcid":"https://orcid.org/0000-0001-9340-5864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu-Ping Wang","raw_affiliation_strings":["Department of Biomedicai Engineering, New Orleans, LA, 70118 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedicai Engineering, New Orleans, LA, 70118 USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I1334567473","display_name":"Mind Research Network","ror":"https://ror.org/032cjfs80","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1334567473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince Calhoun","raw_affiliation_strings":["Mind Research Network, Albuquerque, NM, USA","The MIND Research Network, Albuquerque, NM 87131"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mind Research Network, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I1334567473"]},{"raw_affiliation_string":"The MIND Research Network, Albuquerque, NM 87131","institution_ids":["https://openalex.org/I1334567473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85457082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.627962589263916},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6265643239021301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6137568950653076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6105806827545166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670836567878723},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5385329723358154},{"id":"https://openalex.org/keywords/single-nucleotide-polymorphism","display_name":"Single-nucleotide polymorphism","score":0.48118311166763306},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4478793144226074},{"id":"https://openalex.org/keywords/schizophrenia","display_name":"Schizophrenia (object-oriented programming)","score":0.41752728819847107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2173616886138916},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15241041779518127},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14286214113235474},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13900509476661682},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12192091345787048},{"id":"https://openalex.org/keywords/genotype","display_name":"Genotype","score":0.11473545432090759},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08249479532241821}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.627962589263916},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6265643239021301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6137568950653076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6105806827545166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670836567878723},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5385329723358154},{"id":"https://openalex.org/C153209595","wikidata":"https://www.wikidata.org/wiki/Q501128","display_name":"Single-nucleotide polymorphism","level":4,"score":0.48118311166763306},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4478793144226074},{"id":"https://openalex.org/C2776412080","wikidata":"https://www.wikidata.org/wiki/Q7431605","display_name":"Schizophrenia (object-oriented programming)","level":2,"score":0.41752728819847107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2173616886138916},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15241041779518127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14286214113235474},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13900509476661682},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12192091345787048},{"id":"https://openalex.org/C135763542","wikidata":"https://www.wikidata.org/wiki/Q106016","display_name":"Genotype","level":3,"score":0.11473545432090759},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08249479532241821},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2012.6392674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2012.6392674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Bioinformatics and Biomedicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310142","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1985089773","https://openalex.org/W2003730746","https://openalex.org/W2013828302","https://openalex.org/W2020451388","https://openalex.org/W2021302824","https://openalex.org/W2037842665","https://openalex.org/W2043278359","https://openalex.org/W2064751940","https://openalex.org/W2070515441","https://openalex.org/W2097323375","https://openalex.org/W2098012923","https://openalex.org/W2099151709","https://openalex.org/W2115632542","https://openalex.org/W2116148865","https://openalex.org/W2116359130","https://openalex.org/W2120866479","https://openalex.org/W2132964759","https://openalex.org/W2136235822","https://openalex.org/W2139105070","https://openalex.org/W2140856955","https://openalex.org/W2143969840","https://openalex.org/W2147656689","https://openalex.org/W2154332973","https://openalex.org/W3098004101","https://openalex.org/W6646464445","https://openalex.org/W6680604016"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032","https://openalex.org/W2082728368"],"abstract_inverted_index":{"It":[0],"is":[1,22,175],"important":[2],"to":[3,58,73,94,192],"identify":[4,95],"significant":[5,96],"biomarkers":[6,97],"such":[7],"as":[8],"SNPs":[9,79],"for":[10,98],"medical":[11],"diagnosis":[12],"and":[13,62,80,145,200],"treatment.":[14],"However,":[15],"the":[16,27,33,60,65,71,114,132,146,169],"size":[17],"of":[18,29,64,77,113,152,180,184],"a":[19,43,74,137,153],"biological":[20],"sample":[21],"usually":[23],"far":[24],"less":[25],"than":[26,178],"number":[28],"measurements,":[30],"which":[31,157],"makes":[32],"problem":[34],"more":[35],"challenging.":[36],"To":[37],"overcome":[38],"this":[39],"difficulty,":[40],"we":[41,69],"propose":[42],"sparse":[44],"representation":[45],"based":[46],"variable":[47],"selection":[48],"(SRVS)":[49],"approach.":[50],"A":[51],"simulated":[52],"data":[53],"set":[54],"was":[55,143],"first":[56],"tested":[57],"demonstrate":[59],"advantages":[61],"properties":[63],"proposed":[66,107],"method.":[67],"Then,":[68],"applied":[70],"algorithm":[72],"joint":[75],"analysis":[76,174,189],"759075":[78],"153594":[81],"functional":[82,128],"magnetic":[83],"resonance":[84],"imaging":[85],"(fMRJ)":[86],"voxels":[87],"in":[88],"208":[89],"subjects":[90],"(92":[91],"cases/116":[92],"controls)":[93],"schizophrenia":[99],"(SZ).":[100],"When":[101],"compared":[102,149],"with":[103,150,172],"previous":[104],"studies,":[105],"our":[106,160],"method":[108,161],"located":[109],"20":[110],"genes":[111,118],"out":[112,140],"top":[115],"45":[116],"SZ":[117],"that":[119,151,159,179,187],"are":[120],"publicly":[121],"reported":[122,155],"We":[123],"also":[124],"detected":[125],"some":[126],"interesting":[127],"brain":[129],"regions":[130],"from":[131],"fMRI":[133,201],"study.":[134],"In":[135,167],"addition,":[136,168],"leave":[138],"one":[139],"(LOO)":[141],"cross-validation":[142],"performed":[144],"results":[147],"were":[148],"previously":[154],"method,":[156],"showed":[158],"gave":[162],"significantly":[163],"higher":[164],"classification":[165],"accuracy.":[166],"identification":[170],"accuracy":[171,195],"integrative":[173,188],"much":[176],"better":[177,193],"using":[181],"single":[182],"type":[183],"data,":[185],"suggesting":[186],"may":[190],"lead":[191],"diagnostic":[194],"by":[196],"combining":[197],"complementary":[198],"SNP":[199],"data.":[202]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}