{"id":"https://openalex.org/W3136834909","doi":"https://doi.org/10.1109/tcbb.2021.3067338","title":"A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder","display_name":"A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder","publication_year":2021,"publication_date":"2021-03-18","ids":{"openalex":"https://openalex.org/W3136834909","doi":"https://doi.org/10.1109/tcbb.2021.3067338","mag":"3136834909","pmid":"https://pubmed.ncbi.nlm.nih.gov/33735084"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3067338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3067338","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/A5051670778","display_name":"Cunmei Ji","orcid":"https://orcid.org/0000-0002-7004-3351"},"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":"Cunmei Ji","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":"https://orcid.org/0000-0002-7004-3351","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741273","display_name":"Yutian Wang","orcid":"https://orcid.org/0000-0002-8033-8727"},"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":"Yutian Wang","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068590943","display_name":"Zhen Gao","orcid":"https://orcid.org/0000-0001-7427-6032"},"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":"Zhen Gao","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":"https://orcid.org/0000-0001-7427-6032","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107791211","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-0013-2735"},"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":"Lei Li","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":"https://orcid.org/0000-0003-0013-2735","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003156605","display_name":"Jiancheng Ni","orcid":"https://orcid.org/0000-0001-5667-9807"},"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":"Jiancheng Ni","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"raw_orcid":"https://orcid.org/0000-0001-5667-9807","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064185915","display_name":"Chun-Hou Zheng","orcid":"https://orcid.org/0000-0002-2695-1926"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]},{"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":"Chunhou Zheng","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China","School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-2695-1926","affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9179,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92479216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"2049","last_page":"2059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":1.0,"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":0.9998999834060669,"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/T11765","display_name":"Circular RNAs in diseases","score":0.9991999864578247,"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/autoencoder","display_name":"Autoencoder","score":0.8150910139083862},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5704481601715088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5333523750305176},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5302730798721313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5278270840644836},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5126177668571472},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48177191615104675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4784105718135834},{"id":"https://openalex.org/keywords/microrna","display_name":"microRNA","score":0.45032942295074463},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.43759605288505554},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42519518733024597},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.40424996614456177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35207319259643555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3431817889213562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2306353747844696},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2246115505695343},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22190526127815247},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.12014380097389221},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10608333349227905}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8150910139083862},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5704481601715088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5333523750305176},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5302730798721313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5278270840644836},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5126177668571472},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48177191615104675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4784105718135834},{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.45032942295074463},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.43759605288505554},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42519518733024597},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.40424996614456177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35207319259643555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3431817889213562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2306353747844696},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2246115505695343},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22190526127815247},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.12014380097389221},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10608333349227905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","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":"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":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","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":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","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":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.2021.3067338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3067338","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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:33735084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33735084","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":[{"display_name":"Partnerships for the goals","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G247010507","display_name":null,"funder_award_id":"61873001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5006237592","display_name":null,"funder_award_id":"U19A2064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5609717784","display_name":"\u57fa\u4e8e\u4f4e\u79e9\u548c\u56fe\u6b63\u5219\u7ea6\u675f\u7684\u77e9\u9635\u5206\u89e3\u65b9\u6cd5\u7814\u7a76\u53ca\u5728\u764c\u75c7\u591a\u7ec4\u5b66\u6570\u636e\u4e2d\u7684\u5e94\u7528","funder_award_id":"61872220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G782064070","display_name":null,"funder_award_id":"ZR2020KC022","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W144423133","https://openalex.org/W1436642346","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1959608418","https://openalex.org/W1991154912","https://openalex.org/W2014946489","https://openalex.org/W2042757100","https://openalex.org/W2077327925","https://openalex.org/W2100495367","https://openalex.org/W2103328194","https://openalex.org/W2106029302","https://openalex.org/W2109533280","https://openalex.org/W2122211092","https://openalex.org/W2126619650","https://openalex.org/W2129158737","https://openalex.org/W2132694427","https://openalex.org/W2138664009","https://openalex.org/W2141222510","https://openalex.org/W2145361279","https://openalex.org/W2162674813","https://openalex.org/W2163922914","https://openalex.org/W2194775991","https://openalex.org/W2410390867","https://openalex.org/W2584926544","https://openalex.org/W2601934706","https://openalex.org/W2750900465","https://openalex.org/W2753269195","https://openalex.org/W2753738274","https://openalex.org/W2765950793","https://openalex.org/W2770191688","https://openalex.org/W2780777007","https://openalex.org/W2798045697","https://openalex.org/W2799307902","https://openalex.org/W2807490780","https://openalex.org/W2809363952","https://openalex.org/W2888358121","https://openalex.org/W2889646458","https://openalex.org/W2898440040","https://openalex.org/W2943530662","https://openalex.org/W2950834624","https://openalex.org/W2961050676","https://openalex.org/W2962928958","https://openalex.org/W2963026948","https://openalex.org/W2963446712","https://openalex.org/W2972020367","https://openalex.org/W2979556676","https://openalex.org/W2999336918","https://openalex.org/W3000082418","https://openalex.org/W3007819083","https://openalex.org/W3046022368","https://openalex.org/W3146565636","https://openalex.org/W4246271082","https://openalex.org/W4247544731","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6682691769","https://openalex.org/W6688388477","https://openalex.org/W6739901393","https://openalex.org/W6744627333","https://openalex.org/W6762376514","https://openalex.org/W6781192691"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2226024386","https://openalex.org/W2380654781","https://openalex.org/W2114797768","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W1990601549"],"abstract_inverted_index":{"MicroRNAs":[0],"(miRNAs)":[1],"are":[2,30,63,129,198],"a":[3,89,141],"class":[4],"of":[5,40,44,50,56,135,154,160,169,184,186,207,218],"non-coding":[6],"RNAs":[7],"that":[8,28,176,213],"play":[9],"critical":[10],"role":[11],"in":[12,33,66,224],"many":[13,34],"biological":[14,60],"processes,":[15],"such":[16],"as":[17,107],"cell":[18],"growth,":[19],"development,":[20],"differentiation":[21],"and":[22,54,68,119,137,192,200,232,240],"aging.":[23],"Increasing":[24],"studies":[25,206],"have":[26],"revealed":[27],"miRNAs":[29],"closely":[31],"involved":[32],"human":[35,57,210],"diseases.":[36],"Therefore,":[37,228],"the":[38,48,51,80,103,133,152,161,167,170,219,225,235],"prediction":[39,106],"miRNA-disease":[41,95,104,149,171],"associations":[42,237],"is":[43,163],"great":[45],"significance":[46],"to":[47,78,92,131,165],"study":[49],"pathogenesis,":[52],"diagnosis":[53],"intervention":[55],"disease.":[58],"However,":[59],"experimentally":[61],"methods":[62,72],"usually":[64],"expensive":[65],"time":[67],"money,":[69],"while":[70],"computational":[71],"can":[73,230],"provide":[74],"an":[75],"efficient":[76],"way":[77],"infer":[79],"underlying":[81],"disease-related":[82],"miRNAs.":[83,138,241],"In":[84,203],"this":[85],"study,":[86],"we":[87],"propose":[88],"novel":[90],"method":[91,100],"predict":[93,234],"potential":[94,236],"associations,":[96,150],"called":[97],"SVAEMDA.":[98],"Our":[99],"mainly":[101],"consider":[102],"association":[105],"semi-supervised":[108],"learning":[109],"problem.":[110],"SVAEMDA":[111,139,177,185,214,229],"integrates":[112],"disease":[113],"semantic":[114],"similarity,":[115],"miRNA":[116],"functional":[117],"similarity":[118],"respective":[120],"Gaussian":[121],"interaction":[122],"profile":[123],"(GIP)":[124],"similarities.":[125],"The":[126],"integrated":[127],"similarities":[128],"used":[130,164],"learn":[132],"representations":[134],"diseases":[136,211,239],"trains":[140],"variational":[142],"autoencoder":[143],"based":[144],"predictor":[145,162],"by":[146],"using":[147],"known":[148],"with":[151],"form":[153],"concatenated":[155],"dense":[156],"vectors.":[157],"Reconstruction":[158],"probability":[159],"measure":[166],"correlation":[168],"pairs.":[172],"Experimental":[173],"results":[174],"show":[175],"outperforms":[178],"other":[179],"stat-of-the-art":[180],"methods.":[181],"AUC":[182],"values":[183],"global":[187],"leave-one-out":[188],"cross":[189,194],"validation":[190,195],"(LOOCV)":[191],"5-fold":[193],"(5-fold":[196],"CV)":[197],"0.9464":[199],"0.9428":[201],"respectively.":[202],"addition,":[204],"case":[205],"three":[208],"common":[209],"indicate":[212],"obtains":[215],"100":[216],"percent":[217],"top":[220],"50":[221],"predicted":[222],"candidates":[223],"benchmark":[226],"databases.":[227],"efficiently":[231],"accurately":[233],"between":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
