{"id":"https://openalex.org/W4313527376","doi":"https://doi.org/10.1109/bibm55620.2022.9994959","title":"Feature Selection for Microarray Data via Community Detection Fusing Multiple Gene Relation Networks Information","display_name":"Feature Selection for Microarray Data via Community Detection Fusing Multiple Gene Relation Networks Information","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313527376","doi":"https://doi.org/10.1109/bibm55620.2022.9994959"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9994959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9994959","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5086125071","display_name":"Shoujia Zhang","orcid":"https://orcid.org/0000-0002-6945-9560"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shoujia Zhang","raw_affiliation_strings":["Northeastern University,College of Computer Science and Engineering,Shenyang,Chain","College of Computer Science and Engineering, Northeastern University, Shenyang, Chain"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Computer Science and Engineering,Shenyang,Chain","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, Chain","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318311","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-9186-1142"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Northeastern University,Key Laboratory of Intelligent Computing in Medical Image,Shenyang,Chain","Key Laboratory of Intelligent Computing in Medical Image, Northeastern University, Shenyang, Chain"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Key Laboratory of Intelligent Computing in Medical Image,Shenyang,Chain","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Northeastern University, Shenyang, Chain","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083300528","display_name":"Weidong Xie","orcid":"https://orcid.org/0000-0003-1930-4509"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Xie","raw_affiliation_strings":["Northeastern University,College of Computer Science and Engineering,Shenyang,Chain","College of Computer Science and Engineering, Northeastern University, Shenyang, Chain"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Computer Science and Engineering,Shenyang,Chain","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, Chain","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100737553","display_name":"Linjie Wang","orcid":"https://orcid.org/0009-0004-2028-7501"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjie Wang","raw_affiliation_strings":["Northeastern University,College of Computer Science and Engineering,Shenyang,Chain","College of Computer Science and Engineering, Northeastern University, Shenyang, Chain"],"affiliations":[{"raw_affiliation_string":"Northeastern University,College of Computer Science and Engineering,Shenyang,Chain","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, Chain","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086125071"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46202532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9994000196456909,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7607060670852661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902448892593384},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5432121157646179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5327933430671692},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.5027017593383789},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.46992790699005127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.461350679397583},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.42509591579437256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4244047701358795},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41318508982658386},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.37126171588897705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3575782775878906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34831929206848145},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17458117008209229},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1251664161682129},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.09691941738128662}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7607060670852661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902448892593384},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5432121157646179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5327933430671692},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.5027017593383789},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.46992790699005127},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.461350679397583},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.42509591579437256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4244047701358795},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41318508982658386},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.37126171588897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3575782775878906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34831929206848145},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17458117008209229},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1251664161682129},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.09691941738128662},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm55620.2022.9994959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9994959","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2126668662","https://openalex.org/W2143347324","https://openalex.org/W2151936673","https://openalex.org/W2549966893","https://openalex.org/W2563603481","https://openalex.org/W2802500846","https://openalex.org/W2899142335","https://openalex.org/W2900278036","https://openalex.org/W2944070363","https://openalex.org/W2944666528","https://openalex.org/W2951271819","https://openalex.org/W2952429360","https://openalex.org/W2964321699","https://openalex.org/W3045587924","https://openalex.org/W3126033509","https://openalex.org/W3126534779","https://openalex.org/W3150207085","https://openalex.org/W3154890230","https://openalex.org/W3173294575","https://openalex.org/W3216978859","https://openalex.org/W4200075411","https://openalex.org/W4200310615","https://openalex.org/W4205955193","https://openalex.org/W4221167376","https://openalex.org/W4322614756","https://openalex.org/W6720006811","https://openalex.org/W6730084236","https://openalex.org/W6810398666"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W2002428578","https://openalex.org/W2897258045","https://openalex.org/W3005646551","https://openalex.org/W2018406690","https://openalex.org/W2072332896","https://openalex.org/W2951748633","https://openalex.org/W1492428813","https://openalex.org/W2057691131","https://openalex.org/W2542042335"],"abstract_inverted_index":{"In":[0,34],"recent":[1],"decades,":[2],"the":[3,14,40,48,66,102,130,140],"rapid":[4],"development":[5],"of":[6,16,44,50,63,68],"gene":[7,83,121,142],"sequencing":[8],"and":[9,39,124],"computer":[10],"technology":[11],"has":[12],"increased":[13],"growth":[15],"high-dimensional":[17],"microarray":[18,45],"data.":[19],"Some":[20],"machine":[21],"learning":[22],"methods":[23],"have":[24],"been":[25],"successfully":[26],"applied":[27],"to":[28,30],"it":[29],"help":[31],"classify":[32],"cancer.":[33],"most":[35,62,104],"cases,":[36],"high":[37],"dimensionality":[38],"small":[41],"sample":[42],"size":[43],"data":[46],"restricted":[47],"performance":[49],"cancer":[51,107,123],"classification.":[52],"This":[53,72],"problem":[54],"usually":[55],"issolved":[56],"bysome":[57],"feature":[58,77,133],"selection":[59,78,143],"methods.":[60],"However,":[61],"them":[64],"neglect":[65],"exploitation":[67],"relations":[69],"among":[70,127],"genes.":[71],"paper":[73],"proposes":[74],"a":[75],"novel":[76],"method":[79,94,116,144],"by":[80],"fusing":[81],"multiple":[82],"relation":[84],"network":[85],"information":[86],"based":[87],"on":[88],"community":[89],"detection":[90],"(MGRCD).":[91],"The":[92,114,135],"proposed":[93,115,141],"divides":[95],"all":[96],"genes":[97,103,128],"into":[98],"different":[99],"communities.":[100],"Then,":[101],"associated":[105],"with":[106,122],"classification":[108,148],"are":[109],"selected":[110,131],"from":[111],"each":[112],"community.":[113],"satisfies":[117],"both":[118],"maximum":[119],"relevances":[120],"minimum":[125],"redundancy":[126],"for":[129],"optimal":[132],"subset.":[134],"experiment":[136],"results":[137],"show":[138],"that":[139],"can":[145],"effectively":[146],"improve":[147],"performance.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}