{"id":"https://openalex.org/W2751589570","doi":"https://doi.org/10.1109/iscc.2017.8024647","title":"Weighted Graph Constraint and Group Centric Non-negative Matrix Factorization for gene-phenotype association prediction","display_name":"Weighted Graph Constraint and Group Centric Non-negative Matrix Factorization for gene-phenotype association prediction","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2751589570","doi":"https://doi.org/10.1109/iscc.2017.8024647","mag":"2751589570"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2017.8024647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2017.8024647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium on Computers and Communications (ISCC)","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/A5037375691","display_name":"Yaogong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaogong Zhang","raw_affiliation_strings":["College of Software, NanKai University, TianJin, China"],"affiliations":[{"raw_affiliation_string":"College of Software, NanKai University, TianJin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066927052","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-5735-8711"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Computer Science and Information Engineering, Tianjin University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Information Engineering, Tianjin University of Science and Technology, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326009","display_name":"Jiahui Liu","orcid":"https://orcid.org/0000-0002-9796-6463"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Liu","raw_affiliation_strings":["College of Software, NanKai University, TianJin, China"],"affiliations":[{"raw_affiliation_string":"College of Software, NanKai University, TianJin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101082924","display_name":"Yalou Huang","orcid":"https://orcid.org/0000-0002-6573-1854"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalou Huang","raw_affiliation_strings":["College of Software, NanKai University, TianJin, China"],"affiliations":[{"raw_affiliation_string":"College of Software, NanKai University, TianJin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101644877","display_name":"Maoqiang Xie","orcid":"https://orcid.org/0000-0002-6335-5744"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoqiang Xie","raw_affiliation_strings":["College of Software, NanKai University, TianJin, China"],"affiliations":[{"raw_affiliation_string":"College of Software, NanKai University, TianJin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037375691"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09561937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"42","issue":null,"first_page":"943","last_page":"950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9979000091552734,"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":0.9797999858856201,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6820006966590881},{"id":"https://openalex.org/keywords/phenotype","display_name":"Phenotype","score":0.6588397026062012},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6098044514656067},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5373519659042358},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5336979627609253},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5172781944274902},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4859551191329956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4375920593738556},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.42681100964546204},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.38490742444992065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3256683945655823},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.323547899723053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2742120623588562},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20790615677833557}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6820006966590881},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.6588397026062012},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6098044514656067},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5373519659042358},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5336979627609253},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5172781944274902},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4859551191329956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4375920593738556},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.42681100964546204},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.38490742444992065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3256683945655823},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.323547899723053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2742120623588562},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20790615677833557},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc.2017.8024647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2017.8024647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1976937534","https://openalex.org/W2003516452","https://openalex.org/W2005980089","https://openalex.org/W2010798628","https://openalex.org/W2012896813","https://openalex.org/W2020249414","https://openalex.org/W2085040216","https://openalex.org/W2100582962","https://openalex.org/W2108119513","https://openalex.org/W2110256992","https://openalex.org/W2119825970","https://openalex.org/W2134823866","https://openalex.org/W2135029798","https://openalex.org/W2136514583","https://openalex.org/W2137245235","https://openalex.org/W2151464835","https://openalex.org/W2155295585","https://openalex.org/W2159482845","https://openalex.org/W2164219387","https://openalex.org/W2170282111","https://openalex.org/W2488133945","https://openalex.org/W2493256322","https://openalex.org/W2964265892","https://openalex.org/W4294216483","https://openalex.org/W6679943726","https://openalex.org/W6684423474","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"Gene-phenotype":[0,18],"association":[1,196],"prediction":[2,53,173,212],"can":[3,209],"be":[4],"applied":[5],"to":[6,22,42,52,169,178,186],"reveal":[7],"the":[8,108],"inherited":[9],"basis":[10],"of":[11,44,72,84,110,182,198],"human":[12,201],"diseases":[13],"and":[14,26,36,75,93,184,200,214],"help":[15],"drug":[16],"development.":[17],"associations":[19],"are":[20,50],"related":[21],"complex":[23],"biological":[24,189,194,218],"process":[25],"influenced":[27],"by":[28,63,81],"various":[29],"factors,":[30],"such":[31],"as":[32,121,141],"relationship":[33],"between":[34,113],"phenotypes":[35,116,185],"that":[37,154,203],"among":[38,79,135],"genes.":[39],"While":[40],"due":[41],"sparseness":[43],"curated":[45],"gene-phenotype":[46,195],"associations,":[47],"existing":[48],"approaches":[49],"limited":[51],"accuracy.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,106,131],"propose":[59],"a":[60,126,138,157,171],"novel":[61],"method":[62],"exploiting":[64],"weighted":[65,122],"graph":[66,123],"constraint":[67,124,143],"learned":[68],"from":[69],"hierarchical":[70],"structures":[71],"phenotype":[73,128],"data":[74,120],"group":[76,140,142,158],"prior":[77],"information":[78,148],"genes":[80,136,155,183],"inheriting":[82],"advantages":[83],"Non-negative":[85,96],"Matrix":[86,97],"Factorization":[87,98],"(NMF),":[88],"called":[89],"Weighted":[90],"Graph":[91],"Constraint":[92],"Group":[94],"Centric":[95],"(GC":[99],"<sup":[100,205],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[101,206],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[102,207],"NMF).":[103],"Specifically,":[104],"firstly":[105],"introduce":[107],"depth":[109],"parent-child":[111],"relationships":[112],"two":[114],"adjacent":[115],"in":[117,137,156,161],"hierarchal":[118],"phenotypic":[119],"for":[125,144,217],"better":[127],"understanding.":[129,146],"Secondly,":[130],"utilize":[132],"intra-group":[133],"correlation":[134],"gene":[139,145],"Such":[147],"provides":[149],"us":[150],"an":[151],"intuitive":[152],"priori":[153],"probably":[159],"result":[160],"similar":[162],"phenotypes.":[163],"The":[164],"model":[165],"allows":[166],"not":[167],"only":[168],"achieve":[170],"high":[172],"performance":[174],"but":[175],"also":[176],"jointly":[177],"learn":[179],"interpretable":[180],"representation":[181],"handle":[187],"future":[188],"analysis.":[190],"Experimental":[191],"results":[192],"on":[193],"datasets":[197],"mouse":[199],"demonstrate":[202],"GC":[204],"NMF":[208],"obtain":[210],"superior":[211],"accuracy":[213],"good":[215],"understandability":[216],"explanation":[219],"over":[220],"other":[221],"state-of-the-art":[222],"methods.":[223]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
