{"id":"https://openalex.org/W4321780046","doi":"https://doi.org/10.1109/tcbb.2023.3248787","title":"NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions","display_name":"NGCICM: A Novel Deep Learning-Based Method for Predicting circRNA-miRNA Interactions","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4321780046","doi":"https://doi.org/10.1109/tcbb.2023.3248787","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027645"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2023.3248787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2023.3248787","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM 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/A5001339773","display_name":"Zhihao Ma","orcid":"https://orcid.org/0000-0001-7401-1915"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Ma","raw_affiliation_strings":["School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025882354","display_name":"Zhufang Kuang","orcid":"https://orcid.org/0000-0002-1445-3217"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhufang Kuang","raw_affiliation_strings":["School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-1445-3217","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085608332","display_name":"Lei Deng","orcid":"https://orcid.org/0000-0003-2869-1619"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Deng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-2869-1619","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3935,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80129678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"20","issue":"5","first_page":"3080","last_page":"3092"},"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":0.9987000226974487,"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":0.9969000220298767,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6150277853012085},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5849143266677856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5500491857528687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5171163082122803},{"id":"https://openalex.org/keywords/microrna","display_name":"microRNA","score":0.5026426315307617},{"id":"https://openalex.org/keywords/area-under-curve","display_name":"Area under curve","score":0.4560827910900116},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45305365324020386},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3898116946220398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32271355390548706},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.28716152906417847},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2218647599220276},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12165823578834534},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09518417716026306},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07851812243461609}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6150277853012085},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5849143266677856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5500491857528687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5171163082122803},{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.5026426315307617},{"id":"https://openalex.org/C3020225094","wikidata":"https://www.wikidata.org/wiki/Q80091","display_name":"Area under curve","level":3,"score":0.4560827910900116},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45305365324020386},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3898116946220398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32271355390548706},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.28716152906417847},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2218647599220276},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12165823578834534},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09518417716026306},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07851812243461609},{"id":"https://openalex.org/C112705442","wikidata":"https://www.wikidata.org/wiki/Q323936","display_name":"Pharmacokinetics","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep 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":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","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":"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":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","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":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2023.3248787","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2023.3248787","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043","2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:37027645","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027645","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/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2098831178","display_name":null,"funder_award_id":"2018YFB1700200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3541916101","display_name":null,"funder_award_id":"62072477","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4231528798","display_name":null,"funder_award_id":"2018JJ3888","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5462906374","display_name":null,"funder_award_id":"61702562","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8341551201","display_name":null,"funder_award_id":"61309027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G849053894","display_name":null,"funder_award_id":"61702561","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"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":46,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1986756287","https://openalex.org/W2115662330","https://openalex.org/W2133299088","https://openalex.org/W2154851992","https://openalex.org/W2562634188","https://openalex.org/W2617715606","https://openalex.org/W2785637603","https://openalex.org/W2911292316","https://openalex.org/W2962756421","https://openalex.org/W2965393225","https://openalex.org/W2967109100","https://openalex.org/W2969228284","https://openalex.org/W2970318591","https://openalex.org/W2988622152","https://openalex.org/W3008831128","https://openalex.org/W3014858999","https://openalex.org/W3016768730","https://openalex.org/W3025741173","https://openalex.org/W3037489518","https://openalex.org/W3045879648","https://openalex.org/W3046022368","https://openalex.org/W3046287307","https://openalex.org/W3082264371","https://openalex.org/W3094881119","https://openalex.org/W3098523662","https://openalex.org/W3104097132","https://openalex.org/W3110416952","https://openalex.org/W3117187745","https://openalex.org/W3117766849","https://openalex.org/W3136042383","https://openalex.org/W3138507232","https://openalex.org/W3143789190","https://openalex.org/W3150513450","https://openalex.org/W3155248047","https://openalex.org/W3158143432","https://openalex.org/W3158251467","https://openalex.org/W3159197832","https://openalex.org/W3164648499","https://openalex.org/W3177583188","https://openalex.org/W3194093916","https://openalex.org/W3196165425","https://openalex.org/W3197228436","https://openalex.org/W3200356212","https://openalex.org/W3212148037","https://openalex.org/W6770018982"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,129,139,181],"circRNAs":[1,29,51,72,105,196],"and":[2,14,37,52,54,57,73,88,98,106,125,155,157,168,174,197],"miRNAs":[3,36,56,107],"play":[4],"an":[5],"important":[6],"role":[7],"in":[8,40,191],"the":[9,44,47,68,121,126,142,149,158,161,179,185,188,193],"development":[10],"of":[11,22,50,148,187],"human":[12],"diseases,":[13],"they":[15],"can":[16,30],"be":[17],"widely":[18],"used":[19],"as":[20,32,178],"biomarkers":[21],"diseases":[23,53,58],"for":[24,35,115],"disease":[25],"diagnosis.":[26],"In":[27,75],"particular,":[28],"act":[31,38],"sponge":[33],"adsorbers":[34],"together":[39],"certain":[41],"diseases.":[42],"However,":[43],"associations":[45],"between":[46,55,71,195],"vast":[48],"majority":[49],"remain":[59],"unclear.":[60],"Computational-based":[61],"approaches":[62],"are":[63],"urgently":[64],"needed":[65],"to":[66,103,135],"discover":[67],"unknown":[69],"interactions":[70,108,194],"miRNAs.":[74,198],"this":[76],"paper,":[77],"we":[78],"propose":[79],"a":[80,112],"novel":[81],"deep":[82,116],"learning":[83,118],"algorithm":[84,190],"based":[85],"on":[86],"Node2vec":[87],"Graph":[89],"ATtention":[90],"network":[91],"(GAT),":[92],"Conditional":[93],"Random":[94],"Field":[95],"(CRF)":[96],"layer":[97],"Inductive":[99],"Matrix":[100],"Completion":[101],"(IMC)":[102],"predict":[104],"(NGCICM).":[109],"We":[110],"construct":[111],"GAT-based":[113],"encoder":[114],"feature":[117],"by":[119],"fusing":[120],"talking-heads":[122],"attention":[123],"mechanism":[124],"CRF":[127],"layer.":[128],"IMC-based":[130],"decoder":[131],"is":[132,152,165],"also":[133],"constructed":[134],"obtain":[136],"interaction":[137],"scores.":[138],"Area":[140,159],"Under":[141,160],"receiver":[143],"operating":[144],"characteristic":[145],"Curve":[146],"(AUC)":[147],"NGCICM":[150,189],"method":[151],"0.9697,":[153],"0.9932":[154],"0.9980,":[156],"Precision-Recall":[162],"curve":[163],"(AUPR)":[164],"0.9671,":[166],"0.9935":[167],"0.9981,":[169],"respectively,":[170],"using":[171],"2-fold,":[172],"5-fold":[173],"10-fold":[175],"Cross-Validation":[176],"(CV)":[177],"benchmark.":[180],"experimental":[182],"results":[183],"confirm":[184],"effectiveness":[186],"predicting":[192]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}