{"id":"https://openalex.org/W2896684816","doi":"https://doi.org/10.1109/ijcnn.2018.8489659","title":"Identifying subtype specific network-biomarkers of breast cancer survivability","display_name":"Identifying subtype specific network-biomarkers of breast cancer survivability","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896684816","doi":"https://doi.org/10.1109/ijcnn.2018.8489659","mag":"2896684816"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5070629871","display_name":"Sheikh Jubair","orcid":"https://orcid.org/0000-0002-0416-7866"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sheikh Jubair","raw_affiliation_strings":["School of Computer Science, University of Windsor, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Ontario, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040978295","display_name":"Luis Rueda","orcid":"https://orcid.org/0000-0001-7988-2058"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Luis Rueda","raw_affiliation_strings":["School of Computer Science, University of Windsor, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Ontario, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070302649","display_name":"Alioune Ngom","orcid":"https://orcid.org/0000-0003-2092-2494"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alioune Ngom","raw_affiliation_strings":["School of Computer Science, University of Windsor, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Ontario, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0928,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49034949,"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":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/survivability","display_name":"Survivability","score":0.8514485359191895},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.7180486917495728},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5674726963043213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5049179196357727},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.5012795925140381},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4982028007507324},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4456164836883545},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43633002042770386},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3789072036743164},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.3776935338973999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.362556517124176},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3436647653579712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30973219871520996},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.1481855809688568},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1264234483242035}],"concepts":[{"id":"https://openalex.org/C2781133158","wikidata":"https://www.wikidata.org/wiki/Q1088669","display_name":"Survivability","level":2,"score":0.8514485359191895},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.7180486917495728},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5674726963043213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5049179196357727},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.5012795925140381},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4982028007507324},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4456164836883545},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43633002042770386},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3789072036743164},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3776935338973999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.362556517124176},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3436647653579712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30973219871520996},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1481855809688568},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1264234483242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489659","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W840861454","https://openalex.org/W1935838690","https://openalex.org/W1992045522","https://openalex.org/W2005895632","https://openalex.org/W2023568503","https://openalex.org/W2024909802","https://openalex.org/W2041971688","https://openalex.org/W2044433401","https://openalex.org/W2050574264","https://openalex.org/W2065181436","https://openalex.org/W2084680372","https://openalex.org/W2096283457","https://openalex.org/W2100675674","https://openalex.org/W2104933073","https://openalex.org/W2117692326","https://openalex.org/W2121651329","https://openalex.org/W2133504690","https://openalex.org/W2148143831","https://openalex.org/W2149153852","https://openalex.org/W2154947819","https://openalex.org/W2157285286","https://openalex.org/W2167113024","https://openalex.org/W2169679536","https://openalex.org/W2483651534","https://openalex.org/W2911964244","https://openalex.org/W4238448376","https://openalex.org/W4255785534","https://openalex.org/W6675634716"],"related_works":["https://openalex.org/W2387494004","https://openalex.org/W2162492390","https://openalex.org/W2350417149","https://openalex.org/W2036372418","https://openalex.org/W2545190132","https://openalex.org/W2105280038","https://openalex.org/W212597372","https://openalex.org/W2114587117","https://openalex.org/W2151533375","https://openalex.org/W1487808658"],"abstract_inverted_index":{"Current":[0],"studies":[1,46],"of":[2,8,17,70,75,112,139,149,161,166,179,208,225],"breast":[3,41,109,140,150],"cancer":[4,42,64,110,141,151],"find":[5],"small":[6],"subsets":[7,60],"gene":[9,100,130,163,191],"biomarkers":[10,59,211],"able":[11],"to":[12,97,134,145,169,176,222],"accurately":[13],"predict":[14,146,177,223],"the":[15,22,37,56,62,68,90,136,147,159,194],"survivability":[16,142,148,178,224],"patients.":[18,180,226],"In":[19,104],"these":[20],"studies,":[21],"selected":[23],"genes":[24,86,96,219],"are":[25,199,220],"not":[26,34],"necessarily":[27],"functionally":[28],"related,":[29],"and":[30,73,143,173,197,203],"hence,":[31],"they":[32],"may":[33],"correctly":[35],"indicate":[36],"molecular":[38],"mechanism":[39],"behind":[40],"survivability.":[43],"Also,":[44],"several":[45],"have":[47],"shown":[48],"there":[49],"is":[50,215],"a":[51,108,119,209],"very":[52],"low":[53],"overlap":[54],"between":[55,85],"different":[57,115],"respective":[58],"for":[61,164],"same":[63],"disease.":[65],"To":[66],"improve":[67],"robustness":[69],"classification":[71,184],"performance":[72,185],"stability":[74],"detected":[76],"biomarkers,":[77],"recent":[78],"methods":[79],"take":[80],"existing":[81],"knowledge":[82],"on":[83,154],"relations":[84],"into":[87],"account":[88],"in":[89],"classifier,":[91],"by":[92,123],"aggregating":[93],"functionality":[94],"related":[95],"produce":[98],"discriminative":[99],"subnetworks":[101],"called":[102],"network-biomarkers.":[103],"this":[105],"paper,":[106],"given":[107],"dataset":[111],"patients":[113,152],"with":[114,129,186,212],"subtypes,":[116],"we":[117],"devise":[118],"novel":[120],"network-based":[121],"approach":[122],"integrating":[124],"protein-protein":[125],"interaction":[126],"network":[127,210],"(PPI)":[128],"expression":[131],"data":[132],"(1)":[133],"identify":[135],"network-biomarkers":[137],"(metagene)":[138],"(2)":[144],"based":[153],"subtypes.":[155],"Our":[156],"method":[157],"uses":[158],"concept":[160],"seed":[162,190],"identification":[165],"network-biomarkers,":[167],"ADASYN":[168],"solve":[170],"class":[171],"imbalance":[172],"random":[174],"forest":[175],"We":[181],"obtained":[182],"best":[183],"distance":[187,213],"3":[188,214],"from":[189],"protein":[192],"where":[193],"gmean,":[195],"fl-measure":[196],"accuracy":[198],"respectively":[200],"0.900,":[201],"0.800":[202],"90.34%.":[204],"The":[205],"maximum":[206],"size":[207],"9.":[216],"Maximum":[217],"34":[218],"needed":[221]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2018-10-26T00:00:00"}
