{"id":"https://openalex.org/W4385520543","doi":"https://doi.org/10.1021/acs.jcim.3c00852","title":"BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path","display_name":"BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path","publication_year":2023,"publication_date":"2023-08-03","ids":{"openalex":"https://openalex.org/W4385520543","doi":"https://doi.org/10.1021/acs.jcim.3c00852","pmid":"https://pubmed.ncbi.nlm.nih.gov/37535872"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.3c00852","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.3c00852","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","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/A5013289594","display_name":"Meng-Meng Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-Meng Wei","raw_affiliation_strings":["School of Information Engineering, Xijing University, Xi\u2019an, Shaanxi 710123, China","School of Information Engineering, Xijing University, Xi'an, Shaanxi 710123, China"],"raw_orcid":"https://orcid.org/0009-0009-9453-7653","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi\u2019an, Shaanxi 710123, China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi'an, Shaanxi 710123, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047290329","display_name":"Chang-Qing Yu","orcid":"https://orcid.org/0000-0003-4712-8784"},"institutions":[{"id":"https://openalex.org/I4210162994","display_name":"Xijing University","ror":"https://ror.org/05xsjkb63","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang-Qing Yu","raw_affiliation_strings":["School of Information Engineering, Xijing University, Xi\u2019an, Shaanxi 710123, China","School of Information Engineering, Xijing University, Xi'an, Shaanxi 710123, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi\u2019an, Shaanxi 710123, China","institution_ids":["https://openalex.org/I4210162994"]},{"raw_affiliation_string":"School of Information Engineering, Xijing University, Xi'an, Shaanxi 710123, China","institution_ids":["https://openalex.org/I4210162994"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379665","display_name":"Liping Li","orcid":"https://orcid.org/0000-0002-2994-6583"},"institutions":[{"id":"https://openalex.org/I3132882781","display_name":"Longdong University","ror":"https://ror.org/03wcn4h12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132882781"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li-Ping Li","raw_affiliation_strings":["College of Agriculture and Forestry, Longdong University, Qingyang, Gansu 745000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Agriculture and Forestry, Longdong University, Qingyang, Gansu 745000, China","institution_ids":["https://openalex.org/I3132882781"]}]},{"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/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu-Hong You","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, Shaanxi 710072, China","School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, Shaanxi 710072, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436059","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0003-0184-307X"},"institutions":[{"id":"https://openalex.org/I4210165264","display_name":"Guangxi Academy of Sciences","ror":"https://ror.org/054x1kd82","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Guangxi Key Lab of Human-Machine Interaction and Intelligent Decision, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Lab of Human-Machine Interaction and Intelligent Decision, Guangxi Academy of Sciences, Nanning, Guangxi 530007, China","institution_ids":["https://openalex.org/I4210165264"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047290329","https://openalex.org/A5100379665"],"corresponding_institution_ids":["https://openalex.org/I3132882781","https://openalex.org/I4210162994"],"apc_list":null,"apc_paid":null,"fwci":2.9061,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92274797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"63","issue":"16","first_page":"5384","last_page":"5394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11765","display_name":"Circular RNAs in diseases","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9930999875068665,"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":0.747289776802063},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5482190847396851},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5224049091339111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5083233714103699},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4823874533176422},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4372600018978119},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42180579900741577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39909878373146057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3897513449192047},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28917211294174194},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.10635673999786377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747289776802063},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5482190847396851},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5224049091339111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5083233714103699},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4823874533176422},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4372600018978119},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42180579900741577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39909878373146057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3897513449192047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28917211294174194},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.10635673999786377},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","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:10.1021/acs.jcim.3c00852","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.3c00852","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:37535872","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37535872","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":"Journal of chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G369388814","display_name":null,"funder_award_id":"62273284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5228271564","display_name":null,"funder_award_id":"62002297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7915789691","display_name":null,"funder_award_id":"62172338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8711467752","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u4e0e\u77e5\u8bc6\u56fe\u8c31\u878d\u5408\u7684\u836f\u7269\u76f8\u4e92\u4f5c\u7528\u9884\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072378","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":43,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1888005072","https://openalex.org/W2058835062","https://openalex.org/W2060940710","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2743104969","https://openalex.org/W2803186292","https://openalex.org/W2888186011","https://openalex.org/W2889089555","https://openalex.org/W2896457183","https://openalex.org/W2911964244","https://openalex.org/W2938373257","https://openalex.org/W2942409680","https://openalex.org/W2943283123","https://openalex.org/W2945838677","https://openalex.org/W2962739339","https://openalex.org/W2987445370","https://openalex.org/W2990448851","https://openalex.org/W2999159311","https://openalex.org/W3013528620","https://openalex.org/W3085012358","https://openalex.org/W3104097132","https://openalex.org/W3112889838","https://openalex.org/W4205478771","https://openalex.org/W4206095767","https://openalex.org/W4210424536","https://openalex.org/W4213277551","https://openalex.org/W4239510810","https://openalex.org/W4283769868","https://openalex.org/W4286373989","https://openalex.org/W4289860439","https://openalex.org/W4291825018","https://openalex.org/W4294908374","https://openalex.org/W4295814154","https://openalex.org/W4296394114","https://openalex.org/W4296580708","https://openalex.org/W4309330418","https://openalex.org/W4310456519","https://openalex.org/W4312187515","https://openalex.org/W4317951595","https://openalex.org/W4361017398","https://openalex.org/W4375955768"],"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/W2360571912"],"abstract_inverted_index":{"More":[0],"and":[1,13,37,39,85,97],"more":[2],"evidence":[3],"suggests":[4],"that":[5,169],"circRNA":[6,84],"plays":[7],"a":[8,53,88,160,174],"vital":[9],"role":[10],"in":[11,111],"generating":[12],"treating":[14],"diseases":[15],"by":[16,45],"interacting":[17],"with":[18],"miRNA.":[19,86],"Therefore,":[20],"accurate":[21],"prediction":[22,166],"of":[23,71,83,155],"potential":[24,122],"circRNA-miRNA":[25],"interaction":[26],"(CMI)":[27],"has":[28],"become":[29],"urgent.":[30],"However,":[31],"traditional":[32],"wet":[33,179],"experiments":[34],"are":[35,124],"time-consuming":[36],"costly,":[38],"the":[40,67,72,80,112,127,153,156,178],"results":[41,133,167],"will":[42],"be":[43],"affected":[44],"objective":[46],"factors.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"computational":[54],"model":[55],"BCMCMI,":[56],"which":[57],"combines":[58],"three":[59],"features":[60,78,158],"to":[61,75,105,114,135,150,177],"predict":[62],"CMI.":[63],"Specifically,":[64],"BCMCMI":[65,130,170],"utilizes":[66],"bidirectional":[68],"encoding":[69],"capability":[70],"BERT":[73],"algorithm":[74],"extract":[76],"sequence":[77],"from":[79],"semantic":[81],"information":[82],"Then,":[87],"heterogeneous":[89],"network":[90,113],"is":[91,103],"constructed":[92],"based":[93],"on":[94,139,159],"cosine":[95],"similarity":[96,119],"known":[98],"CMI":[99,144],"information.":[100],"The":[101,164],"Metapath2vec":[102],"employed":[104],"conduct":[106],"random":[107],"walks":[108],"following":[109],"meta-paths":[110],"capture":[115],"topological":[116],"features,":[117],"including":[118],"features.":[120],"Finally,":[121],"CMIs":[123],"predicted":[125],"using":[126],"XGBoost":[128],"classifier.":[129],"achieves":[131],"superior":[132],"compared":[134],"other":[136],"state-of-the-art":[137],"models":[138],"two":[140],"benchmark":[141],"datasets":[142],"for":[143],"prediction.":[145],"We":[146],"also":[147],"utilize":[148],"t-SNE":[149],"visually":[151],"observe":[152],"distribution":[154],"extracted":[157],"randomly":[161],"selected":[162],"dataset.":[163],"remarkable":[165],"show":[168],"can":[171],"serve":[172],"as":[173],"valuable":[175],"complement":[176],"experiment":[180],"process.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}