{"id":"https://openalex.org/W2133062168","doi":"https://doi.org/10.1109/cibcb.2008.4675771","title":"Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets","display_name":"Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for gene expression datasets","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2133062168","doi":"https://doi.org/10.1109/cibcb.2008.4675771","mag":"2133062168"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb.2008.4675771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2008.4675771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","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/A5058900041","display_name":"Rasha Kashef","orcid":"https://orcid.org/0000-0003-3448-1079"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"R. Kashef","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Pattern Analysis and Machine Intelligence Laboratory, University of Waterloo, ONT, Canada","Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Pattern Analysis and Machine Intelligence Laboratory, University of Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON#TAB#","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318050","display_name":"Mohamed S. Kamel","orcid":"https://orcid.org/0000-0001-6173-8082"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. S. Kamel","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Pattern Analysis and Machine Intelligence Laboratory, University of Waterloo, ONT, Canada","Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Pattern Analysis and Machine Intelligence Laboratory, University of Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON#TAB#","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058900041"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.12375922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9947999715805054,"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":0.9947999715805054,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8361324071884155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263416051864624},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.591227114200592},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5709446668624878},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5015201568603516},{"id":"https://openalex.org/keywords/peer-to-peer","display_name":"Peer-to-peer","score":0.4839973449707031},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4600706994533539},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.41803669929504395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3251379430294037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09884831309318542}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8361324071884155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263416051864624},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.591227114200592},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5709446668624878},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5015201568603516},{"id":"https://openalex.org/C534932454","wikidata":"https://www.wikidata.org/wiki/Q161410","display_name":"Peer-to-peer","level":2,"score":0.4839973449707031},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4600706994533539},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.41803669929504395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3251379430294037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09884831309318542},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb.2008.4675771","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb.2008.4675771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1510543252","https://openalex.org/W1524787014","https://openalex.org/W1536796772","https://openalex.org/W1548779692","https://openalex.org/W1592702894","https://openalex.org/W1603122341","https://openalex.org/W1870625491","https://openalex.org/W1966854728","https://openalex.org/W1977556410","https://openalex.org/W1985121718","https://openalex.org/W1992419399","https://openalex.org/W2018199316","https://openalex.org/W2075900721","https://openalex.org/W2083801826","https://openalex.org/W2108323654","https://openalex.org/W2109363337","https://openalex.org/W2135000328","https://openalex.org/W2135187880","https://openalex.org/W2147128677","https://openalex.org/W2150926065","https://openalex.org/W2153233077","https://openalex.org/W2168561598","https://openalex.org/W2510174275","https://openalex.org/W2542394219","https://openalex.org/W2611831635","https://openalex.org/W4285719527","https://openalex.org/W6632288055","https://openalex.org/W6638030395"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"Clustering":[0],"techniques":[1],"are":[2],"helpful":[3],"in":[4,104,128],"understanding":[5],"gene":[6,18,38,153,188],"regulation,":[7],"cellular":[8],"processes,":[9],"and":[10,123,177,197],"subtypes":[11],"of":[12,17,30,33,37,50,68,75,146,163,172],"cells.":[13],"A":[14,81],"major":[15],"thrust":[16],"expression":[19,39,154,189],"analysis":[20],"over":[21],"the":[22,28,55,78,90,120,124,144,147,161,164,173],"last":[23],"twenty":[24],"years":[25],"has":[26],"been":[27],"acquisition":[29],"enormous":[31],"amount":[32],"various":[34],"distributed":[35,51,69,100,111,130,148,165,175,178,187],"sources":[36],"datasets.":[40,155],"Thus,":[41],"it":[42,59],"is":[43,71,108,114,168,191],"becoming":[44],"increasingly":[45],"important":[46],"to":[47,57,133,142,194],"perform":[48],"clustering":[49,70,88,93,103],"data":[52],"in-place,":[53],"without":[54],"need":[56],"pool":[58],"first":[60],"into":[61],"a":[62,73,98,105,129,182],"central":[63],"node.":[64],"The":[65,110],"general":[66],"goal":[67],"achieving":[72],"level":[74],"speedup":[76],"than":[77,170],"centralized":[79,86,92],"approaches.":[80,94],"recent":[82],"study":[83],"shows":[84],"that":[85,160,171,199],"cooperative":[87,101,184],"outperforms":[89],"non-cooperative":[91,174],"In":[95],"this":[96],"paper":[97],"novel":[99],"partitional-divisive":[102],"peer-to-peer":[106],"network":[107,132],"presented.":[109],"CPDC":[112,149,166],"approach":[113,150],"based":[115],"on":[116],"intermediate":[117],"cooperation":[118],"between":[119],"Partitional":[121],"k-means":[122,127,176],"divisive":[125],"bisecting":[126,179],"Peer-to-Peer":[131],"produce":[134],"better":[135,169],"global":[136],"solutions.":[137],"Computational":[138],"experiments":[139],"were":[140],"conducted":[141],"test":[143],"performance":[145,162],"using":[151],"different":[152],"Undertaken":[156],"experimental":[157],"results":[158],"show":[159],"method":[167],"k-means.":[180],"Thus":[181],"new":[183],"technique":[185],"for":[186],"repositories":[190],"efficiently":[192],"presented":[193],"discover":[195],"regularities":[196],"genes":[198],"may":[200],"span":[201],"multiple":[202],"nodes.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}