{"id":"https://openalex.org/W4413917037","doi":"https://doi.org/10.1109/tcbbio.2025.3605047","title":"Prediction of circRNA-Disease Associations Based on Graph Isomorphism Networks and Graph Sampling Aggregation","display_name":"Prediction of circRNA-Disease Associations Based on Graph Isomorphism Networks and Graph Sampling Aggregation","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4413917037","doi":"https://doi.org/10.1109/tcbbio.2025.3605047","pmid":"https://pubmed.ncbi.nlm.nih.gov/40892649"},"language":"en","primary_location":{"id":"doi:10.1109/tcbbio.2025.3605047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2025.3605047","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/A5102775390","display_name":"Pengli Lu","orcid":"https://orcid.org/0000-0002-9949-4850"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengli Lu","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, P.R. China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xusheng Liu","orcid":"https://orcid.org/0009-0005-7491-1354"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xusheng Liu","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, P.R. China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001194187","display_name":"Fentang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114785","display_name":"Gansu Provincial Hospital","ror":"https://ror.org/02axars19","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210114785"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fentang Gao","raw_affiliation_strings":["Department of Cardiology, Gansu Provincial People&#x2019;s Hospital, Lanzhou, China","Department of Cardiology, Gansu Provincial People&#x0027;s Hospital, Lanzhou, Gansu, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Gansu Provincial People&#x2019;s Hospital, Lanzhou, China","institution_ids":["https://openalex.org/I4210114785"]},{"raw_affiliation_string":"Department of Cardiology, Gansu Provincial People&#x0027;s Hospital, Lanzhou, Gansu, P.R. China","institution_ids":["https://openalex.org/I4210114785"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102775390"],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":null,"apc_paid":null,"fwci":0.767,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7511716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"22","issue":"6","first_page":"2907","last_page":"2920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11765","display_name":"Circular RNAs in diseases","score":0.9796000123023987,"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":0.9796000123023987,"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/graph-isomorphism","display_name":"Graph isomorphism","score":0.7127758264541626},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5669845938682556},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.5005855560302734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40646734833717346},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.37129178643226624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35783615708351135},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.13979896903038025},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.1313718855381012}],"concepts":[{"id":"https://openalex.org/C61665672","wikidata":"https://www.wikidata.org/wiki/Q303100","display_name":"Graph isomorphism","level":4,"score":0.7127758264541626},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5669845938682556},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.5005855560302734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40646734833717346},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.37129178643226624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35783615708351135},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.13979896903038025},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.1313718855381012}],"mesh":[{"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":"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":"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":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbbio.2025.3605047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2025.3605047","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:40892649","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40892649","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":[],"awards":[{"id":"https://openalex.org/G4273252526","display_name":null,"funder_award_id":"62562045","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":42,"referenced_works":["https://openalex.org/W1966411071","https://openalex.org/W2017919052","https://openalex.org/W2031593782","https://openalex.org/W2034587103","https://openalex.org/W2064165694","https://openalex.org/W2106029302","https://openalex.org/W2128049108","https://openalex.org/W2592189645","https://openalex.org/W2616072553","https://openalex.org/W2737722001","https://openalex.org/W2758737643","https://openalex.org/W2789029475","https://openalex.org/W2807602500","https://openalex.org/W2899436082","https://openalex.org/W2940466690","https://openalex.org/W2948996631","https://openalex.org/W2951739649","https://openalex.org/W2982690182","https://openalex.org/W2997017339","https://openalex.org/W3004538479","https://openalex.org/W3030501700","https://openalex.org/W3094804494","https://openalex.org/W3094881119","https://openalex.org/W3098523662","https://openalex.org/W3160443976","https://openalex.org/W3167160116","https://openalex.org/W3174376470","https://openalex.org/W3197001103","https://openalex.org/W3199131545","https://openalex.org/W3217673092","https://openalex.org/W4200310000","https://openalex.org/W4205343042","https://openalex.org/W4226097900","https://openalex.org/W4226207408","https://openalex.org/W4246271082","https://openalex.org/W4313706461","https://openalex.org/W4360770766","https://openalex.org/W4390938618","https://openalex.org/W4392558716","https://openalex.org/W4394773567","https://openalex.org/W4403269878","https://openalex.org/W4407316259"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1482551403","https://openalex.org/W1965191464","https://openalex.org/W2954463587","https://openalex.org/W2393701947","https://openalex.org/W2542507283","https://openalex.org/W2128390795","https://openalex.org/W2991205486","https://openalex.org/W167435155","https://openalex.org/W2018568077"],"abstract_inverted_index":{"The":[0,177],"study":[1],"of":[2,95,106,179,212],"the":[3,15,85,100,121,133,137,154,174,208],"relationship":[4],"between":[5,30],"circular":[6],"RNA":[7],"(circRNA)":[8],"and":[9,32,37,71,92,103,151,202],"disease":[10,18],"is":[11,34],"crucial":[12],"for":[13,75,148],"understanding":[14],"mechanisms":[16],"underlying":[17],"onset.":[19],"However,":[20],"relying":[21],"on":[22,183,199],"biological":[23],"experiments":[24],"to":[25,54,120,160,172,205],"explore":[26],"all":[27],"potential":[28],"connections":[29],"circRNAs":[31],"diseases":[33],"both":[35],"time-consuming":[36],"labor-intensive.":[38],"While":[39],"various":[40],"prediction":[41,175],"methods":[42],"have":[43],"been":[44],"proposed,":[45],"they":[46],"still":[47],"possess":[48],"certain":[49],"limitations":[50],"in":[51],"their":[52],"ability":[53],"extract":[55,161],"deep":[56],"features.":[57,111,135,164],"In":[58],"this":[59],"study,":[60],"we":[61,166,195],"introduce":[62],"an":[63],"innovative":[64],"computational":[65],"framework":[66],"called":[67],"Graph":[68,72,144,155],"Isomorphism":[69,145],"Networks":[70],"Sampling":[73,156],"Aggregation":[74,157],"predicting":[76],"unknown":[77],"circRNA-disease":[78],"associations":[79],"(GINSACDA).":[80],"Specifically,":[81],"GINSACDA":[82,188],"first":[83],"computes":[84],"Gaussian":[86],"interactive":[87],"profile":[88],"kernel":[89],"(GIP)":[90],"similarity":[91,94,102,105],"functional":[93],"circRNAs,":[96],"as":[97,99,109,126],"well":[98],"GIP":[101],"semantic":[104],"diseases,":[107],"serving":[108],"global":[110,134],"Then,":[112],"node":[113],"labels":[114],"extracted":[115],"from":[116],"seven-hop":[117],"subgraphs":[118],"connected":[119,170],"target":[122],"nodes":[123],"are":[124,130,140],"used":[125],"local":[127],"features,":[128],"which":[129],"fused":[131,138],"with":[132,153],"Next,":[136],"features":[139],"input":[141],"into":[142],"a":[143,168],"Network":[146],"(GIN)":[147],"feature":[149],"extraction":[150],"combined":[152],"(GraphSAGE)":[158],"method":[159],"deeper":[162],"hidden":[163],"Finally,":[165],"employed":[167],"fully":[169],"layer":[171],"compute":[173],"scores.":[176],"results":[178],"five-fold":[180],"cross-validation":[181],"conducted":[182,196],"two":[184],"datasets":[185],"indicate":[186],"that":[187],"outperforms":[189],"five":[190],"other":[191],"state-of-the-art":[192],"models.":[193],"Additionally,":[194],"case":[197],"studies":[198],"hepatocellular":[200],"carcinoma":[201],"breast":[203],"cancer":[204],"further":[206],"validate":[207],"superior":[209],"predictive":[210],"capabilities":[211],"our":[213],"model.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
