{"id":"https://openalex.org/W1972129715","doi":"https://doi.org/10.1109/gensips.2012.6507751","title":"A statistical test for intrinsically multivariate predictive genes","display_name":"A statistical test for intrinsically multivariate predictive genes","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W1972129715","doi":"https://doi.org/10.1109/gensips.2012.6507751","mag":"1972129715"},"language":"en","primary_location":{"id":"doi:10.1109/gensips.2012.6507751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","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/A5089256756","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0002-5777-909X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ting Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering Texas A&M University College Station, Texas 77843","Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Texas A&M University College Station, Texas 77843","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026990034","display_name":"Ulisses Braga-Neto","orcid":"https://orcid.org/0000-0002-1210-2173"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulisses Braga-Neto","raw_affiliation_strings":["Department of Electrical and Computer Engineering Texas A&M University College Station, Texas 77843","Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Texas A&M University College Station, Texas 77843","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, 77843","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089256756"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.2627,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55678301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"151","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9994999766349792,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9994999766349792,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.994700014591217,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.6494637727737427},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.623745322227478},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5764509439468384},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5672730207443237},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5005371570587158},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.49601277709007263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45470815896987915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4186337888240814},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.33987897634506226},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33826881647109985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3217920958995819},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24675646424293518}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6494637727737427},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.623745322227478},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5764509439468384},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5672730207443237},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5005371570587158},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.49601277709007263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45470815896987915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4186337888240814},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.33987897634506226},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33826881647109985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3217920958995819},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24675646424293518},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gensips.2012.6507751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","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":8,"referenced_works":["https://openalex.org/W1496983321","https://openalex.org/W1651215666","https://openalex.org/W2024105897","https://openalex.org/W2030387392","https://openalex.org/W2066024292","https://openalex.org/W2094902224","https://openalex.org/W2104862630","https://openalex.org/W2160533336"],"related_works":["https://openalex.org/W154531455","https://openalex.org/W1976797354","https://openalex.org/W2088387197","https://openalex.org/W3174861742","https://openalex.org/W3013502713","https://openalex.org/W1995992573","https://openalex.org/W1975978539","https://openalex.org/W2315531462","https://openalex.org/W325754011","https://openalex.org/W1972799248"],"abstract_inverted_index":{"Canalizing":[0],"genes":[1,18],"possess":[2,25],"broad":[3],"regulatory":[4],"power":[5],"over":[6,188],"biological":[7,190],"processes.":[8],"In":[9,100],"a":[10,26,40,72,93,96,108,151,175,185,195],"previous":[11],"publication,":[12],"it":[13],"was":[14,84],"hypothesized":[15],"that":[16,24,43,183],"canalizing":[17,186],"may":[19],"be":[20,51],"identified":[21],"as":[22],"those":[23],"large":[27,152,196],"number":[28,153,197],"of":[29,55,71,79,145,147,154,163,198,206],"intrinsically":[30],"multivariate":[31],"predictive":[32,159],"(IMP)":[33],"gene":[34,187],"sets.":[35],"An":[36],"IMP":[37,61,64,98,200],"set":[38,42],"is":[39,66,170],"predictor":[41,156],"predicts":[44],"well":[45],"the":[46,56,60,76,123,133,143,207],"target,":[47],"which":[48,181],"cannot":[49],"however":[50],"predicted":[52],"by":[53,106,161,172,204],"any":[54],"proper":[57],"subsets":[58],"in":[59,69,192],"set.":[62],"The":[63,168],"property":[65],"defined":[67],"mathematically":[68],"terms":[70],"score":[73],"based":[74,118],"on":[75,119],"binary":[77],"Coefficient":[78],"Determination":[80],"(CoD),":[81],"but":[82],"there":[83],"until":[85],"now":[86],"no":[87],"rigorous":[88],"statistical":[89],"procedure":[90],"to":[91,150,174],"obtain":[92],"test":[94],"for":[95,122,132,138],"nonzero":[97],"score.":[99],"this":[101,105,139],"paper,":[102],"we":[103],"address":[104,142],"assuming":[107],"stochastic":[109],"regulation":[110],"model":[111,125],"and":[112,136,158,165],"providing":[113],"an":[114],"Intersection-Union":[115],"Test":[116],"(IUT)":[117],"likelihood-ratio":[120],"tests":[121,148],"individual":[124],"parameters.":[126],"We":[127,141],"derive":[128],"exact":[129],"analytical":[130],"formulas":[131],"rejection":[134],"region":[135],"p-value":[137],"test.":[140],"issue":[144],"multiplicity":[146],"due":[149],"candidate":[155],"sets":[157],"logics":[160],"means":[162],"FWER-":[164],"FDR-controlling":[166],"approaches.":[167],"methodology":[169],"demonstrated":[171],"application":[173],"real":[176],"melanoma":[177],"gene-expression":[178],"data":[179],"set,":[180],"shows":[182],"DUSP1,":[184],"important":[189],"processes":[191],"melanoma,":[193],"displayed":[194],"significant":[199],"sets,":[201],"after":[202],"correction":[203],"either":[205],"multiple":[208],"testing":[209],"procedures.":[210]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}