{"id":"https://openalex.org/W3127884987","doi":"https://doi.org/10.1109/bibm49941.2020.9313174","title":"Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction","display_name":"Cooperative Driver Pathway Discovery by Hierarchical Clustering and Link Prediction","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3127884987","doi":"https://doi.org/10.1109/bibm49941.2020.9313174","mag":"3127884987"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5101420683","display_name":"Sufang Li","orcid":"https://orcid.org/0000-0001-5007-5332"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sufang Li","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, Chongqing, China","Joint SDU-NTU Centre for Artificial Intelligence Research, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"Joint SDU-NTU Centre for Artificial Intelligence Research, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384767","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5890-0365"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, Chongqing, China","Joint SDU-NTU Centre for Artificial Intelligence Research, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"Joint SDU-NTU Centre for Artificial Intelligence Research, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079800756","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0001-6228-6276"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["College of Elec. &Inf. Eng., Beijing University of Civil Engineering & Architecture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Elec. &Inf. Eng., Beijing University of Civil Engineering & Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["CEMSE, King Abdullah University of Science and Technology, Thuwal, SA"],"affiliations":[{"raw_affiliation_string":"CEMSE, King Abdullah University of Science and Technology, Thuwal, SA","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101420683"],"corresponding_institution_ids":["https://openalex.org/I142108993","https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0829,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46353166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"120"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.998199999332428,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9868000149726868,"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/link","display_name":"Link (geometry)","score":0.7112319469451904},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6509993672370911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.638698399066925},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4866712689399719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40147626399993896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3508484959602356},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11454948782920837}],"concepts":[{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7112319469451904},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6509993672370911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638698399066925},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4866712689399719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40147626399993896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3508484959602356},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11454948782920837}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/667468","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/667468","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1964427001","https://openalex.org/W1967495064","https://openalex.org/W2015631955","https://openalex.org/W2042851051","https://openalex.org/W2044433401","https://openalex.org/W2073308507","https://openalex.org/W2084380589","https://openalex.org/W2096766502","https://openalex.org/W2116798163","https://openalex.org/W2121443461","https://openalex.org/W2121906867","https://openalex.org/W2122769974","https://openalex.org/W2122778851","https://openalex.org/W2123696077","https://openalex.org/W2125118217","https://openalex.org/W2140287290","https://openalex.org/W2141012957","https://openalex.org/W2141222510","https://openalex.org/W2141811925","https://openalex.org/W2144940507","https://openalex.org/W2149082178","https://openalex.org/W2158135353","https://openalex.org/W2324480838","https://openalex.org/W2442835468","https://openalex.org/W2541750288","https://openalex.org/W2788919350","https://openalex.org/W2884736612","https://openalex.org/W2903634148","https://openalex.org/W2950307844","https://openalex.org/W2953661734","https://openalex.org/W2963757395","https://openalex.org/W2974300506","https://openalex.org/W2977712660","https://openalex.org/W2983166786","https://openalex.org/W3005448126","https://openalex.org/W3007629644","https://openalex.org/W3146417664","https://openalex.org/W4238448376"],"related_works":["https://openalex.org/W2592952084","https://openalex.org/W4312222690","https://openalex.org/W2092291687","https://openalex.org/W2394938095","https://openalex.org/W194352584","https://openalex.org/W3216028647","https://openalex.org/W2032422752","https://openalex.org/W3099482891","https://openalex.org/W2104915767","https://openalex.org/W1818357617"],"abstract_inverted_index":{"Identifying":[0],"driver":[1,36,47,197],"pathway":[2,48,131,136],"is":[3,40],"a":[4,68,81],"critical":[5],"step":[6],"to":[7,32,85,97,116,133],"uncover":[8],"the":[9,13,87,112,118,126,135,159,170,175,206],"natural":[10],"laws":[11],"of":[12,17,38,56,91,152,177],"occurrence":[14,143],"and":[15,75,89,95,129,142,165,168,185,209,214],"progression":[16],"disease.":[18],"Many":[19],"studies":[20],"show":[21,194],"that":[22,195],"multiple":[23,153],"pathways":[24,37,198],"often":[25],"function":[26],"cooperatively":[27],"in":[28],"carcinogenesis.":[29],"However,":[30],"how":[31],"computationally":[33],"identify":[34],"cooperative":[35,46,145,196],"cancers":[39],"not":[41],"well":[42],"studied":[43],"yet.":[44],"Existing":[45],"identification":[49],"methods":[50],"either":[51],"suffer":[52],"from":[53],"single":[54],"type":[55],"genetic":[57,154],"information":[58,155],"source":[59],"or":[60],"computation":[61],"difficulty.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"proposed":[67],"method":[69],"(CDPLP)":[70],"based":[71],"on":[72,111,179],"hierarchical":[73,104],"clustering":[74],"link":[76,109],"prediction.":[77],"CDPLP":[78,124,147,178,201],"firstly":[79],"devises":[80],"new":[82],"similarity":[83],"metric":[84],"quantity":[86],"exclusivity":[88,102],"co-expression":[90],"two":[92],"gene":[93,99,127],"modules,":[94],"thus":[96],"obtain":[98],"sets":[100,128],"with":[101,138,188,205,212],"by":[103,200],"clustering.":[105],"Next,":[106],"it":[107,187],"uses":[108],"prediction":[110],"pathway-pathway":[113,166],"interaction":[114,141,163],"network":[115,132],"replenish":[117],"interactions":[119],"between":[120],"pathways.":[121,146],"After":[122],"that,":[123],"combines":[125],"updated":[130],"discover":[134],"pairs":[137],"high":[139],"functional":[140],"as":[144,158],"can":[148],"make":[149],"full":[150],"use":[151],"sources":[156],"such":[157],"mutation":[160],"data,":[161],"gene-gene":[162],"data":[164],"network,":[167],"facilitate":[169],"optimization":[171],"solution.":[172],"We":[173],"evaluated":[174],"performance":[176],"TCGA":[180],"breast":[181],"cancer":[182],"(BRCA)":[183],"dataset":[184],"compared":[186],"other":[189],"popular":[190],"methods.":[191],"The":[192],"results":[193],"identified":[199],"are":[202,210],"highly":[203],"associated":[204],"target":[207],"cancer,":[208],"involved":[211],"carcinogenesis":[213],"several":[215],"key":[216],"biological":[217],"processes.":[218]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
