{"id":"https://openalex.org/W2004924325","doi":"https://doi.org/10.1109/bibmw.2011.6112550","title":"Weighted pooling high-throughput gene expression data sets to maximize the functional coherence of the top rank genes","display_name":"Weighted pooling high-throughput gene expression data sets to maximize the functional coherence of the top rank genes","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2004924325","doi":"https://doi.org/10.1109/bibmw.2011.6112550","mag":"2004924325"},"language":"en","primary_location":{"id":"doi:10.1109/bibmw.2011.6112550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2011.6112550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5101486685","display_name":"Xiaodong Zhou","orcid":"https://orcid.org/0000-0001-5258-8190"},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]},{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhou","raw_affiliation_strings":["Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, USA","Department of Computer Science, University of Memphis, Memphis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, USA","institution_ids":["https://openalex.org/I160606119"]},{"raw_affiliation_string":"Department of Computer Science, University of Memphis, Memphis, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106178545","display_name":"E. Olusegun George","orcid":"https://orcid.org/0000-0002-6185-7994"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. O. George","raw_affiliation_strings":["Department of Mathematical Sciences, University of Memphis, Memphis, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Memphis, Memphis, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1033","last_page":"1033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9969000220298767,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9354000091552734,"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/pooling","display_name":"Pooling","score":0.8294361233711243},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6240373849868774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172826290130615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5387049913406372},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.503323495388031},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.4328135848045349},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.415225088596344},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3835980296134949},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3607944846153259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29350435733795166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25689882040023804},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24408066272735596},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.24121400713920593},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.1931523084640503},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.15611359477043152}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8294361233711243},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6240373849868774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172826290130615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5387049913406372},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.503323495388031},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.4328135848045349},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.415225088596344},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3835980296134949},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3607944846153259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29350435733795166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25689882040023804},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24408066272735596},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24121400713920593},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.1931523084640503},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.15611359477043152},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibmw.2011.6112550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2011.6112550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"In":[0],"a":[1,13,126],"typical":[2],"gene":[3,27],"expression":[4],"study":[5],"with":[6,56,108,181],"high":[7],"throughput":[8],"technique,":[9],"such":[10],"as":[11,148],"microarray,":[12],"biologist":[14],"usually":[15],"focuses":[16],"on":[17,129],"the":[18,23,38,70,74,87,91,101,116,151,155,195],"top":[19,102,156,186],"genes":[20,104,158,188],"ranked":[21],"by":[22,53,160],"P-values":[24,55],"to":[25,60,64,95,141,145,149],"establish":[26],"functional":[28,113,122,152,168],"relationship":[29],"/":[30],"network,":[31],"biological":[32,67],"pathway,":[33],"and":[34,134],"microbiologically":[35],"ramifications":[36],"of":[37,76,105,154,185],"gene's":[39],"selection.":[40],"With":[41],"more":[42,66,167],"datasets":[43,77,146],"publically":[44],"available,":[45],"researchers":[46],"pool":[47],"data":[48,106,173,179],"from":[49,69],"independent":[50,97],"experiments,":[51],"typically":[52],"pooling":[54],"equal":[57,82,92,182],"weight":[58],"assigned":[59],"each":[61],"dataset,":[62],"aiming":[63],"fetch":[65],"information":[68],"pooled":[71,107,162,172,180],"data.":[72],"However,":[73],"qualities":[75],"may":[78,84],"vary":[79],"substantially.":[80],"Assigning":[81],"weights":[83,93,144],"not":[85],"guarantee":[86],"optimal":[88,143,191],"result.":[89],"Applying":[90],"approach":[94,110],"six":[96],"datasets,":[98],"we":[99],"observe":[100,165],"rank":[103,157,187],"this":[109],"have":[111],"less":[112],"coherence":[114,153,169],"than":[115,174],"single":[117,176],"dataset":[118,177],"that":[119],"has":[120],"highest":[121],"coherence.":[123],"We":[124,164],"propose":[125],"procedure":[127,192],"based":[128],"enhanced":[130],"simulated":[131],"annealing":[132],"(ESA)":[133],"literature":[135],"semantic":[136],"indexing":[137],"cohesive":[138],"(LSI-c)":[139],"analysis":[140],"assign":[142],"so":[147],"maximize":[150],"ordered":[159],"their":[161],"P-values.":[163],"significantly":[166],"in":[170],"optimally":[171],"any":[175],"or":[178],"weights.":[183],"Identification":[184],"through":[189],"our":[190],"should":[193],"improve":[194],"downstream":[196],"analysis.":[197]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
