{"id":"https://openalex.org/W7135215285","doi":"https://doi.org/10.1371/journal.pcbi.1014072","title":"CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learning","display_name":"CFGSCDSA: Predicting circRNA-drug sensitivity associations based on collaborative feature learning and graph structure learning","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7135215285","doi":"https://doi.org/10.1371/journal.pcbi.1014072","pmid":"https://pubmed.ncbi.nlm.nih.gov/41824539"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1014072","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1014072","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1014072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128995285","display_name":"Xue Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China","Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8466-8838","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210123686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129056724","display_name":"Quan Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Zou","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I4210123686"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chunyu Wang","orcid":"https://orcid.org/0000-0002-2965-9920"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Wang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-2965-9920","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128947166","display_name":"Mengting Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengting Niu","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33097228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"3","first_page":"e1014072","last_page":"e1014072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.7937999963760376,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.7937999963760376,"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":0.06210000067949295,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.01600000075995922,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.6150000095367432},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6013000011444092},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5023000240325928},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4632999897003174},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.2842999994754791},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.2825999855995178}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6800000071525574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287999749183655},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6150000095367432},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6013000011444092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813000202178955},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5023000240325928},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3709999918937683},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.2540999948978424}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1371/journal.pcbi.1014072","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1014072","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:41824539","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41824539","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:doaj.org/article:80b20dc8e8e84714a850afd665499e64","is_oa":true,"landing_page_url":"https://doaj.org/article/80b20dc8e8e84714a850afd665499e64","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 22, Iss 3 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12987592","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12987592/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1014072","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1014072","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3393501527","display_name":null,"funder_award_id":"62473268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5798893398","display_name":null,"funder_award_id":"62231013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7661108713","display_name":null,"funder_award_id":"64273268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G988366798","display_name":null,"funder_award_id":"2024YFC3405902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2022835736","https://openalex.org/W2036907121","https://openalex.org/W2068237022","https://openalex.org/W2079762751","https://openalex.org/W2101083045","https://openalex.org/W2106029302","https://openalex.org/W2126931729","https://openalex.org/W2127553917","https://openalex.org/W2129679153","https://openalex.org/W2472173303","https://openalex.org/W2982827109","https://openalex.org/W3005637893","https://openalex.org/W3109958717","https://openalex.org/W3136781081","https://openalex.org/W3201724807","https://openalex.org/W4200074879","https://openalex.org/W4229005146","https://openalex.org/W4309218736","https://openalex.org/W4313707003","https://openalex.org/W4318159444","https://openalex.org/W4319441372","https://openalex.org/W4327811717","https://openalex.org/W4388080288","https://openalex.org/W4389495145","https://openalex.org/W4389921927","https://openalex.org/W4390058513","https://openalex.org/W4390731249","https://openalex.org/W4391485226","https://openalex.org/W4392563618","https://openalex.org/W4395047953","https://openalex.org/W4396937787","https://openalex.org/W4400419214","https://openalex.org/W4401864592","https://openalex.org/W4401879977","https://openalex.org/W4402810392","https://openalex.org/W4403782367","https://openalex.org/W4404650713","https://openalex.org/W4405525278","https://openalex.org/W4406260099","https://openalex.org/W4406611475","https://openalex.org/W4409841613","https://openalex.org/W4410285152","https://openalex.org/W4410360497","https://openalex.org/W4410462844","https://openalex.org/W4410906932","https://openalex.org/W4411277103","https://openalex.org/W4415699359"],"related_works":[],"abstract_inverted_index":{"MOTIVATION:":[0],"The":[1],"expression":[2],"of":[3,34,44,89,108,132],"circular":[4],"RNAs":[5],"(circRNAs)":[6],"has":[7],"been":[8],"shown":[9],"to":[10,66,103,122,135],"be":[11],"strongly":[12],"correlated":[13],"with":[14,96],"drug":[15,72],"sensitivity":[16,36,47,73],"in":[17],"human":[18],"cells.":[19],"However,":[20],"experimental":[21],"validation":[22],"using":[23],"wet-lab":[24],"techniques":[25],"is":[26],"costly":[27],"and":[28,46,62,71,141],"inefficient,":[29],"leaving":[30],"a":[31,55,97],"substantial":[32],"portion":[33],"circRNA-drug":[35],"associations":[37,48,68,140],"undiscovered.":[38],"Therefore,":[39],"improving":[40],"the":[41,87,105],"prediction":[42],"efficiency":[43],"circRNA":[45],"remains":[49],"critical.":[50],"METHODS:":[51],"Here,":[52],"we":[53],"describe":[54],"method":[56],"that":[57,116],"integrates":[58],"collaborative":[59,76],"feature":[60],"learning":[61,65,77,95],"graph":[63,93],"structure":[64,94],"predict":[67,137],"between":[69],"circRNAs":[70],"(CFGSCDSA).":[74],"Specifically,":[75],"integrated":[78],"heterogeneous":[79],"features":[80],"from":[81],"diverse":[82],"data":[83,90],"sources,":[84],"thereby":[85],"addressing":[86],"issue":[88],"sparsity.":[91],"Furthermore,":[92],"confidence-guided":[98],"pseudo-labeling":[99],"strategy":[100],"was":[101],"employed":[102],"mitigate":[104],"detrimental":[106],"effect":[107],"excessive":[109],"negative":[110],"samples.":[111],"Results:":[112],"Experimental":[113],"evaluation":[114],"revealed":[115],"CFGSCDSA":[117],"attained":[118],"superior":[119],"performance":[120],"compared":[121],"all":[123],"competing":[124],"models.":[125],"Moreover,":[126],"case":[127],"studies":[128],"provided":[129],"further":[130],"evidence":[131],"its":[133],"capability":[134],"accurately":[136],"both":[138],"novel":[139],"new":[142],"drug-related":[143],"links.":[144]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-03-14T00:00:00"}