{"id":"https://openalex.org/W4406047213","doi":"https://doi.org/10.1109/tcbbio.2024.3506615","title":"RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association Prediction","display_name":"RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association Prediction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406047213","doi":"https://doi.org/10.1109/tcbbio.2024.3506615","pmid":"https://pubmed.ncbi.nlm.nih.gov/40811239"},"language":"en","primary_location":{"id":"doi:10.1109/tcbbio.2024.3506615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2024.3506615","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100846421","display_name":"Xin He","orcid":"https://orcid.org/0009-0005-3804-824X"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin He","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0009-0005-3804-824X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007539735","display_name":"Junliang Shang","orcid":"https://orcid.org/0000-0002-8488-2228"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Shang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-8488-2228","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022496217","display_name":"Daohui Ge","orcid":"https://orcid.org/0009-0009-4565-6031"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daohui Ge","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0009-0009-4565-6031","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448913","display_name":"Feng Li","orcid":"https://orcid.org/0000-0002-5556-3789"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-5556-3789","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073144090","display_name":"Jin\u2010Xing Liu","orcid":"https://orcid.org/0000-0001-6104-2149"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Xing Liu","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0001-6104-2149","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100846421"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":2.8454,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88831783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"22","issue":"1","first_page":"192","last_page":"202"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9835000038146973,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9807000160217285,"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":0.5955513715744019},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48414522409439087},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44760861992836},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4275232255458832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3911247253417969},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3571974039077759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34513717889785767},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28814855217933655},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16147717833518982},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15266981720924377},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07324680685997009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955513715744019},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48414522409439087},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44760861992836},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4275232255458832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3911247253417969},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3571974039077759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34513717889785767},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28814855217933655},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16147717833518982},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15266981720924377},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07324680685997009},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbbio.2024.3506615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2024.3506615","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:40811239","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40811239","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":"IEEE transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6299999952316284,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1350247206","display_name":null,"funder_award_id":"62172254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4690668261","display_name":null,"funder_award_id":"62472250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6334930974","display_name":null,"funder_award_id":"61972226","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1966411071","https://openalex.org/W2058835062","https://openalex.org/W2064165694","https://openalex.org/W2106029302","https://openalex.org/W2128049108","https://openalex.org/W2141222510","https://openalex.org/W2500528072","https://openalex.org/W2600581473","https://openalex.org/W2606900069","https://openalex.org/W2616072553","https://openalex.org/W2618209086","https://openalex.org/W2624931807","https://openalex.org/W2807602500","https://openalex.org/W2888120028","https://openalex.org/W2899436082","https://openalex.org/W2948996631","https://openalex.org/W2981316968","https://openalex.org/W2990693740","https://openalex.org/W2991743543","https://openalex.org/W2991794871","https://openalex.org/W3013250504","https://openalex.org/W3013990127","https://openalex.org/W3026308742","https://openalex.org/W3034046925","https://openalex.org/W3099616110","https://openalex.org/W3103443653","https://openalex.org/W3107569791","https://openalex.org/W3132349341","https://openalex.org/W3138507232","https://openalex.org/W3157315991","https://openalex.org/W3157330827","https://openalex.org/W3158251467","https://openalex.org/W3159197832","https://openalex.org/W3169491270","https://openalex.org/W3179782236","https://openalex.org/W3197001103","https://openalex.org/W3206219396","https://openalex.org/W3212148037","https://openalex.org/W3217673092","https://openalex.org/W4200310000","https://openalex.org/W4210852391","https://openalex.org/W4213138800","https://openalex.org/W4245384076","https://openalex.org/W4292263641","https://openalex.org/W4296580708","https://openalex.org/W4312187515","https://openalex.org/W4360770766","https://openalex.org/W4385578886","https://openalex.org/W4391296859","https://openalex.org/W4392558716","https://openalex.org/W4393007257","https://openalex.org/W4394773567","https://openalex.org/W4401009566","https://openalex.org/W4404238200"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2961085424","https://openalex.org/W2076713575"],"abstract_inverted_index":{"Numerous":[0],"studies":[1,171],"have":[2,25],"demonstrated":[3],"the":[4,15,32,42,108,124,129,132,143,163,173,185],"regulatory":[5],"role":[6],"of":[7,17,35,87,131,165,179],"circular":[8],"RNA":[9],"(circRNA)":[10],"in":[11,41],"various":[12],"diseases,":[13,90,153],"emphasizing":[14],"importance":[16],"identifying":[18],"disease-related":[19],"circRNAs.":[20],"Although":[21],"several":[22],"computational":[23,64],"models":[24],"been":[26],"developed":[27],"to":[28,76,94,99,121,146,157],"predict":[29,77],"circRNA-disease":[30,54,78,104,197],"associations,":[31,126],"limited":[33],"number":[34],"experimentally":[36],"validated":[37],"associations":[38],"has":[39],"resulted":[40],"sparse":[43],"association":[44,111,119,139,159],"network.":[45,112],"Therefore,":[46],"there":[47],"is":[48,128],"a":[49,63,116],"need":[50],"for":[51,150,195],"continuously":[52],"improving":[53],"prediction":[55],"models.":[56],"In":[57],"this":[58],"study,":[59],"we":[60],"propose":[61],"RPMVCDA,":[62,166],"model":[65],"based":[66,135],"on":[67,136,172],"random":[68,117],"perturbation":[69,118],"and":[70,89,152,169],"multi-view":[71,92],"graph":[72],"convolutional":[73],"networks":[74,86],"(GCNs),":[75],"associations.":[79,198],"Specifically,":[80],"RPMVCDA":[81,106,114,141,183],"first":[82],"constructs":[83,107],"multiple":[84],"similarity":[85,110],"circRNAs":[88,151],"applying":[91],"GCNs":[93],"obtain":[95],"embedding":[96],"representations.":[97],"Second,":[98],"enable":[100],"message":[101],"passing":[102],"between":[103],"samples,":[105],"feature":[109],"Third,":[113],"introduces":[115],"network":[120],"further":[122],"explore":[123],"potential":[125],"which":[127,154,180],"highlight":[130],"RPMVCDA.":[133],"Finally,":[134],"these":[137],"three":[138],"networks,":[140],"utilizes":[142],"self-attention":[144],"mechanism":[145],"generate":[147],"high-quality":[148],"features":[149],"are":[155,176],"used":[156],"calculate":[158],"scores.":[160],"To":[161],"evaluate":[162],"performance":[164],"five-fold":[167],"cross-validation":[168],"case":[170],"CircR2Disease":[174],"dataset":[175],"performed,":[177],"results":[178],"shows":[181],"that":[182,189],"outperforms":[184],"compared":[186],"models,":[187],"implying":[188],"it":[190],"might":[191],"be":[192],"an":[193],"alternative":[194],"predicting":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}