{"id":"https://openalex.org/W3026308742","doi":"https://doi.org/10.1371/journal.pcbi.1007568","title":"GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm","display_name":"GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm","publication_year":2020,"publication_date":"2020-05-20","ids":{"openalex":"https://openalex.org/W3026308742","doi":"https://doi.org/10.1371/journal.pcbi.1007568","mag":"3026308742","pmid":"https://pubmed.ncbi.nlm.nih.gov/32433655"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1007568","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007568","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007568&type=printable","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://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007568&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100436059","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-0184-307X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]},{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["College of Information Science and Engineering, Zaozhuang University, Zaozhuang, China","Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0003-0184-307X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Zaozhuang University, Zaozhuang, China","institution_ids":["https://openalex.org/I4210159676"]},{"raw_affiliation_string":"Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019805735","display_name":"Zhu\u2010Hong You","orcid":"https://orcid.org/0000-0003-1266-2696"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106108","display_name":"Xinjiang Technical Institute of Physics & Chemistry","ror":"https://ror.org/00x44h034","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106108"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu-Hong You","raw_affiliation_strings":["Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0003-1266-2696","affiliations":[{"raw_affiliation_string":"Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I4210106108","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025128323","display_name":"Yangming Li","orcid":"https://orcid.org/0000-0002-9794-8054"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang-Ming Li","raw_affiliation_strings":["Department of Electrical Computer and Telecommunications Engineering Technology, Rochester Institute of Technology, Rochester, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Computer and Telecommunications Engineering Technology, Rochester Institute of Technology, Rochester, United States of America","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032517198","display_name":"Kai Zheng","orcid":"https://orcid.org/0000-0003-1578-1818"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017713277","display_name":"Yu\u2010An Huang","orcid":"https://orcid.org/0000-0002-5346-2394"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu-An Huang","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019805735","https://openalex.org/A5100436059"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106108","https://openalex.org/I4210159676"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":9.1121,"has_fulltext":true,"cited_by_count":143,"citation_normalized_percentile":{"value":0.98741391,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"5","first_page":"e1007568","last_page":"e1007568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11765","display_name":"Circular RNAs in diseases","score":1.0,"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/T11765","display_name":"Circular RNAs in diseases","score":1.0,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/computer-science","display_name":"Computer science","score":0.5996456146240234},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5938758850097656},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5752454996109009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4911441504955292},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43981876969337463},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4368158280849457},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39450550079345703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36325836181640625},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13923248648643494},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12600651383399963},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07912707328796387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996456146240234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5938758850097656},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5752454996109009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4911441504955292},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43981876969337463},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4368158280849457},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39450550079345703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36325836181640625},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13923248648643494},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12600651383399963},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07912707328796387}],"mesh":[{"descriptor_ui":"D000068598","descriptor_name":"Data Accuracy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068598","descriptor_name":"Data Accuracy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000068598","descriptor_name":"Data Accuracy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":"Q000639","qualifier_name":"trends","is_major_topic":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000235","qualifier_name":"genetics","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":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","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":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1007568","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007568","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007568&type=printable","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:32433655","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32433655","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:RePEc:plo:pcbi00:1007568","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007568","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:130f2882353b447598e5fd7c5690ffaa","is_oa":true,"landing_page_url":"https://doaj.org/article/130f2882353b447598e5fd7c5690ffaa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 16, Iss 5, p e1007568 (2020)","raw_type":"article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/87825","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/87825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7266350","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7266350","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.1007568","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1007568","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007568&type=printable","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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1472446628","display_name":null,"funder_award_id":"2019M653804","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2951747900","display_name":null,"funder_award_id":"61722212","funder_id":"https://openalex.org/F4320328015","funder_display_name":"West Light Foundation of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G3158980518","display_name":null,"funder_award_id":"61572506","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3588239447","display_name":null,"funder_award_id":"61702444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G53239543","display_name":null,"funder_award_id":"2018-XBQNXZ-B-008","funder_id":"https://openalex.org/F4320328015","funder_display_name":"West Light Foundation of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G670923129","display_name":null,"funder_award_id":"61722212","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G82793888","display_name":null,"funder_award_id":"61722212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320328015","display_name":"West Light Foundation of the Chinese Academy of Sciences","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3026308742.pdf","grobid_xml":"https://content.openalex.org/works/W3026308742.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1593960337","https://openalex.org/W1846631206","https://openalex.org/W1966411071","https://openalex.org/W1975909559","https://openalex.org/W1990748933","https://openalex.org/W2017919052","https://openalex.org/W2018780815","https://openalex.org/W2024248021","https://openalex.org/W2029838682","https://openalex.org/W2034305079","https://openalex.org/W2043586600","https://openalex.org/W2058835062","https://openalex.org/W2064165694","https://openalex.org/W2095799789","https://openalex.org/W2100317431","https://openalex.org/W2104960492","https://openalex.org/W2115662330","https://openalex.org/W2132940486","https://openalex.org/W2141222510","https://openalex.org/W2152705149","https://openalex.org/W2155653793","https://openalex.org/W2174483798","https://openalex.org/W2201765260","https://openalex.org/W2272622882","https://openalex.org/W2290820108","https://openalex.org/W2464299117","https://openalex.org/W2500528072","https://openalex.org/W2513915125","https://openalex.org/W2519202371","https://openalex.org/W2530008209","https://openalex.org/W2604647093","https://openalex.org/W2615247391","https://openalex.org/W2617715606","https://openalex.org/W2744320608","https://openalex.org/W2793599803","https://openalex.org/W2800766678","https://openalex.org/W2807602500","https://openalex.org/W2884943532","https://openalex.org/W2888239540","https://openalex.org/W2898991725","https://openalex.org/W2899436082","https://openalex.org/W2906953716","https://openalex.org/W2909637325","https://openalex.org/W2923922207","https://openalex.org/W6674587137"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W4210874298"],"abstract_inverted_index":{"Numerous":[0],"evidences":[1],"indicate":[2],"that":[3,231,258],"Circular":[4],"RNAs":[5],"(circRNAs)":[6],"are":[7,163],"widely":[8],"involved":[9],"in":[10,28,154],"the":[11,18,30,37,46,60,75,95,108,113,117,150,155,159,167,188,237,243],"occurrence":[12],"and":[13,22,35,39,51,56,127,205,225,234,253,266],"development":[14],"of":[15,32,41,179,190,236],"diseases.":[16,42],"Identifying":[17],"association":[19],"between":[20,49],"circRNAs":[21,50,241],"diseases":[23,34,220],"plays":[24],"a":[25,88],"crucial":[26],"role":[27],"exploring":[29],"pathogenesis":[31],"complex":[33,47],"improving":[36],"diagnosis":[38],"treatment":[40],"However,":[43],"due":[44],"to":[45,58,78,106,147],"mechanisms":[48],"diseases,":[52],"it":[53],"is":[54,69,144],"expensive":[55],"time-consuming":[57],"discover":[59],"new":[61,160],"circRNA-disease":[62,81,139,161,264],"associations":[63,162,265],"by":[64,120,166,169,250],"biological":[65,272],"experiment.":[66],"Therefore,":[67],"there":[68],"increasingly":[70],"urgent":[71],"need":[72],"for":[73,271],"utilizing":[74],"computational":[76,89],"methods":[77],"predict":[79,107,262],"novel":[80],"associations.":[82,140],"In":[83,196],"this":[84],"study,":[85],"we":[86,214],"propose":[87],"method":[90,114],"called":[91],"GCNCDA":[92,180,209,259],"based":[93,136],"on":[94,137,192,219],"deep":[96],"learning":[97,99],"Fast":[98],"with":[100,184,198,242],"Graph":[101],"Convolutional":[102],"Networks":[103],"(FastGCN)":[104],"algorithm":[105,143],"potential":[109,263],"disease-associated":[110],"circRNAs.":[111],"Specifically,":[112],"first":[115],"forms":[116],"unified":[118],"descriptor":[119],"fusing":[121],"disease":[122,126],"semantic":[123],"similarity":[124,134],"information,":[125],"circRNA":[128],"Gaussian":[129],"Interaction":[130],"Profile":[131],"(GIP)":[132],"kernel":[133],"information":[135],"known":[138],"The":[141,175,228],"FastGCN":[142],"then":[145],"used":[146],"objectively":[148],"extract":[149],"high-level":[151],"features":[152],"contained":[153],"fusion":[156],"descriptor.":[157],"Finally,":[158],"accurately":[164],"predicted":[165],"Forest":[168],"Penalizing":[170],"Attributes":[171],"(Forest":[172],"PA)":[173],"classifier.":[174],"5-fold":[176],"cross-validation":[177],"experiment":[178],"achieved":[181],"91.2%":[182],"accuracy":[183],"92.78%":[185],"sensitivity":[186],"at":[187],"AUC":[189],"90.90%":[191],"circR2Disease":[193],"benchmark":[194],"dataset.":[195],"comparison":[197],"different":[199],"classifier":[200],"models,":[201],"feature":[202],"extraction":[203],"models":[204],"other":[206],"state-of-the-art":[207],"methods,":[208],"shows":[210],"strong":[211],"competitiveness.":[212],"Furthermore,":[213],"conducted":[215],"case":[216],"study":[217],"experiments":[218],"including":[221],"breast":[222],"cancer,":[223],"glioma":[224],"colorectal":[226],"cancer.":[227],"results":[229,256],"showed":[230],"16,":[232],"15":[233],"17":[235],"top":[238],"20":[239],"candidate":[240],"highest":[244],"prediction":[245],"scores":[246],"were":[247],"respectively":[248],"confirmed":[249],"relevant":[251],"literature":[252],"databases.":[254],"These":[255],"suggest":[257],"can":[260],"effectively":[261],"provide":[267],"highly":[268],"credible":[269],"candidates":[270],"experiments.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":13},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
