{"id":"https://openalex.org/W2557019241","doi":"https://doi.org/10.1109/ijcnn.2016.7727340","title":"Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation","display_name":"Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2557019241","doi":"https://doi.org/10.1109/ijcnn.2016.7727340","mag":"2557019241"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5017282597","display_name":"Buwen Cao","orcid":"https://orcid.org/0000-0002-9372-1135"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Buwen Cao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750544","display_name":"Jiawei Luo","orcid":"https://orcid.org/0000-0003-4737-9014"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Luo","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101756728","display_name":"Cheng Liang","orcid":"https://orcid.org/0000-0003-3832-0969"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Liang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101485863","display_name":"Shulin Wang","orcid":"https://orcid.org/0000-0003-1474-6455"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Wang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017282597"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.3335,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68495219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1244","last_page":"1252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998999834060669,"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":0.9962999820709229,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9890000224113464,"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/extension","display_name":"Extension (predicate logic)","score":0.7026480436325073},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.6907196640968323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6539468169212341},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6079066395759583},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5905269384384155},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46079379320144653},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.44462811946868896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4204915165901184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38549214601516724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3529101610183716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3279246687889099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27208441495895386},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09661051630973816}],"concepts":[{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.7026480436325073},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.6907196640968323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6539468169212341},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6079066395759583},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5905269384384155},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46079379320144653},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.44462811946868896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4204915165901184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38549214601516724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3529101610183716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3279246687889099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27208441495895386},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09661051630973816},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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":33,"referenced_works":["https://openalex.org/W1485582261","https://openalex.org/W1635771532","https://openalex.org/W1783384641","https://openalex.org/W1876024155","https://openalex.org/W1921052768","https://openalex.org/W2030928641","https://openalex.org/W2034328794","https://openalex.org/W2057793636","https://openalex.org/W2082565035","https://openalex.org/W2107067224","https://openalex.org/W2107710781","https://openalex.org/W2110708857","https://openalex.org/W2116117181","https://openalex.org/W2124166542","https://openalex.org/W2124954925","https://openalex.org/W2131150601","https://openalex.org/W2132582966","https://openalex.org/W2134019300","https://openalex.org/W2136850043","https://openalex.org/W2138003801","https://openalex.org/W2140280811","https://openalex.org/W2140462113","https://openalex.org/W2144300411","https://openalex.org/W2144393227","https://openalex.org/W2152486860","https://openalex.org/W2156070536","https://openalex.org/W2160313295","https://openalex.org/W2161565145","https://openalex.org/W2165533101","https://openalex.org/W2323587325","https://openalex.org/W2403079677","https://openalex.org/W4289255536","https://openalex.org/W6636576792"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W4234874385","https://openalex.org/W2369178846","https://openalex.org/W2370289839","https://openalex.org/W2323648130","https://openalex.org/W2082716031","https://openalex.org/W2157140558","https://openalex.org/W2933494595","https://openalex.org/W2378782423"],"abstract_inverted_index":{"Detecting":[0],"overlapping":[1],"protein":[2,26,58,77,89,103,127,135],"complexes":[3,78,128],"in":[4,88,95,186],"protein-protein":[5],"interaction":[6],"(PPI)":[7],"networks":[8,81,145],"can":[9],"provide":[10],"insight":[11],"into":[12],"cellular":[13,20],"functional":[14],"organization":[15],"and":[16,109,146,151,158,177,179,191],"thus":[17],"elucidate":[18],"underlying":[19],"mechanisms.":[21],"Recently,":[22],"various":[23],"algorithms":[24,39,169],"for":[25,32],"complex":[27,136],"detection":[28],"have":[29],"been":[30],"developed":[31],"PPI":[33,80,144,149],"networks.":[34],"However,":[35],"the":[36,53,84,101,120,133],"majority":[37],"of":[38,67,188],"primarily":[40],"depend":[41],"on":[42,71,106],"network":[43,150],"topological":[44],"features":[45],"and/or":[46],"gene":[47],"expression":[48],"profile,":[49],"failing":[50],"to":[51,118,131,141],"consider":[52],"inherent":[54],"biological":[55,85],"meanings":[56],"between":[57],"pairs.":[59,90],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"a":[65,147],"method":[66,166],"pseudo-clique":[68],"extension":[69],"based":[70,105],"fuzzy":[72,107],"relation":[73,108],"(PCE-FR)":[74],"that":[75,164,180],"detects":[76],"from":[79],"weighted":[82],"with":[83],"significance":[86],"hidden":[87],"The":[91],"proposed":[92],"algorithm":[93],"operates":[94],"three":[96],"stages:":[97],"it":[98,181],"first":[99],"forms":[100],"non-overlapping":[102],"sub-structure":[104,113],"then":[110],"expands":[111],"each":[112],"by":[114,155],"adding":[115],"neighbor":[116],"proteins":[117],"maximize":[119],"cohesive":[121],"score.":[122],"Finally,":[123],"highly":[124],"overlapped":[125],"candidate":[126],"are":[129],"merged":[130],"form":[132],"final":[134],"set.":[137],"We":[138],"apply":[139],"PCE-FR":[140],"two":[142],"yeast":[143],"human":[148],"validate":[152],"our":[153,165],"results":[154,162],"using":[156],"CYC2008":[157],"CHPC2012,":[159],"respectively.":[160],"Experimental":[161],"show":[163],"outperforms":[167],"classical":[168],"such":[170],"as":[171],"CFinder,":[172],"ClusterONE,":[173],"CMC,":[174],"RRW,":[175],"HC-PIN":[176],"ProRank+,":[178],"achieves":[182],"ideal":[183],"overall":[184],"performance":[185],"terms":[187],"Precision,":[189],"Accuracy,":[190],"Separation.":[192]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
