{"id":"https://openalex.org/W3091383179","doi":"https://doi.org/10.1109/tcbb.2020.3027444","title":"A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs","display_name":"A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3091383179","doi":"https://doi.org/10.1109/tcbb.2020.3027444","mag":"3091383179","pmid":"https://pubmed.ncbi.nlm.nih.gov/32991287"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2020.3027444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2020.3027444","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/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":true,"raw_author_name":"Zhen Gao","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"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":"Yu-Tian Wang","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"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/A5101531254","display_name":"Qing-Wen Wu","orcid":null},"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":"Qing-Wen Wu","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"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/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China","National Institute of Standards and Technology, Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"School of Software, Qufu Normal University, Qufu, China","institution_ids":["https://openalex.org/I202126657"]},{"raw_affiliation_string":"National Institute of Standards and Technology, Boulder, CO, USA","institution_ids":["https://openalex.org/I1321296531"]}]},{"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":"Jian-Cheng Ni","raw_affiliation_strings":["School of Software, Qufu Normal University, Qufu, China"],"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Hou Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068590943"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.5592,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.59380282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"2","first_page":"763","last_page":"772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","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"}},"topics":[{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9994000196456909,"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":0.9933000206947327,"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/overfitting","display_name":"Overfitting","score":0.6851420998573303},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6105627417564392},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.581182599067688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5488123297691345},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.46583834290504456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4582383632659912},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.45720750093460083},{"id":"https://openalex.org/keywords/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.4276929199695587},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4228176474571228},{"id":"https://openalex.org/keywords/microrna","display_name":"microRNA","score":0.42182207107543945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37551480531692505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3723144233226776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32654237747192383},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3106667995452881},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.30396804213523865},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2098751664161682},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13946709036827087},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13300007581710815},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.11006894707679749},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09931337833404541},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08977660536766052},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08164116740226746},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.07987123727798462},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.0771942138671875}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6851420998573303},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6105627417564392},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.581182599067688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5488123297691345},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.46583834290504456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4582383632659912},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.45720750093460083},{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.4276929199695587},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4228176474571228},{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.42182207107543945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37551480531692505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3723144233226776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32654237747192383},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3106667995452881},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.30396804213523865},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2098751664161682},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13946709036827087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13300007581710815},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.11006894707679749},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09931337833404541},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08977660536766052},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08164116740226746},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.07987123727798462},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0771942138671875},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"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":"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.2020.3027444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2020.3027444","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:32991287","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32991287","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/G5573161910","display_name":null,"funder_award_id":"61672037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5609717784","display_name":null,"funder_award_id":"61872220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6322265744","display_name":null,"funder_award_id":"U19A2064, 61873001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G74711194","display_name":null,"funder_award_id":"61732012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8031058355","display_name":null,"funder_award_id":"61861146002","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W14098964","https://openalex.org/W144423133","https://openalex.org/W1577392641","https://openalex.org/W1902027874","https://openalex.org/W1977181995","https://openalex.org/W1981052185","https://openalex.org/W2014946489","https://openalex.org/W2047071281","https://openalex.org/W2101293029","https://openalex.org/W2105136962","https://openalex.org/W2118814218","https://openalex.org/W2126619650","https://openalex.org/W2141222510","https://openalex.org/W2142937131","https://openalex.org/W2144719328","https://openalex.org/W2145955247","https://openalex.org/W2147339185","https://openalex.org/W2158135353","https://openalex.org/W2258129851","https://openalex.org/W2343107734","https://openalex.org/W2345065869","https://openalex.org/W2409508359","https://openalex.org/W2410390867","https://openalex.org/W2462108616","https://openalex.org/W2463737032","https://openalex.org/W2486650429","https://openalex.org/W2518398099","https://openalex.org/W2548889510","https://openalex.org/W2592189645","https://openalex.org/W2613500826","https://openalex.org/W2626236443","https://openalex.org/W2733137052","https://openalex.org/W2750900465","https://openalex.org/W2752943586","https://openalex.org/W2765950793","https://openalex.org/W2771019114","https://openalex.org/W2773619566","https://openalex.org/W2776243693","https://openalex.org/W2780584018","https://openalex.org/W2780777007","https://openalex.org/W2798045697","https://openalex.org/W2799307902","https://openalex.org/W2807490780","https://openalex.org/W2809363952","https://openalex.org/W2888216133","https://openalex.org/W2888358121","https://openalex.org/W2896829849","https://openalex.org/W2902400385","https://openalex.org/W2912279798","https://openalex.org/W2913303505","https://openalex.org/W2942820662","https://openalex.org/W2962928958","https://openalex.org/W2964698384","https://openalex.org/W2964945998","https://openalex.org/W2990717563","https://openalex.org/W3146565636","https://openalex.org/W4246271082","https://openalex.org/W4255156463","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2158112352","https://openalex.org/W2633605431","https://openalex.org/W3184441089"],"abstract_inverted_index":{"Numerous":[0],"studies":[1],"have":[2],"shown":[3],"that":[4,166],"microRNAs":[5],"are":[6],"associated":[7],"with":[8],"the":[9,24,53,64,71,79,87,94,100,106,138,141,154,159],"occurrence":[10],"and":[11,27,43,59,69,89,132,146,156,171],"development":[12],"of":[13,29,102,108,158],"human":[14],"diseases.":[15,30],"Thus,":[16],"studying":[17],"disease-associated":[18,49,174],"miRNAs":[19],"is":[20,116],"significantly":[21],"valuable":[22],"to":[23,52,84,92,98,135,152],"prevention,":[25],"diagnosis":[26],"treatment":[28],"In":[31,77],"this":[32],"paper,":[33],"we":[34,62],"proposed":[35,160],"a":[36,117,147],"novel":[37],"method":[38,107,168],"based":[39],"on":[40,56],"matrix":[41,45,80,124],"completion":[42,81],"non-negative":[44,123],"factorization":[46,125],"(MCNMF)for":[47],"predicting":[48],"miRNAs.":[50,175],"Due":[51],"information":[54],"inadequacy":[55],"miRNA":[57,88],"similarities":[58,91],"disease":[60,90],"similarities,":[61],"calculated":[63],"latter":[65],"via":[66],"two":[67],"models,":[68],"introduced":[70],"Gaussian":[72],"interaction":[73],"profile":[74],"kernel":[75],"similarity.":[76],"addition,":[78],"(MC)was":[82],"employed":[83],"further":[85],"replenish":[86],"improve":[93],"prediction":[95],"performance.":[96],"And":[97],"reduce":[99],"sparsity":[101],"miRNA-disease":[103],"association":[104],"matrix,":[105],"weighted":[109],"K":[110],"nearest":[111],"neighbor":[112],"(WKNKN)was":[113],"used,":[114],"which":[115],"pre-processing":[118],"step.":[119],"We":[120],"also":[121],"utilized":[122],"(NMF)using":[126],"dual":[127],"L<sub>2,1</sub>-norm,":[128],"graph":[129],"Laplacian":[130],"regularization,":[131],"Tikhonov":[133],"regularization":[134],"effectively":[136,172],"avoid":[137],"overfitting":[139],"during":[140],"prediction.":[142],"Finally,":[143],"several":[144],"experiments":[145],"case":[148],"study":[149],"were":[150],"implemented":[151],"evaluate":[153],"effectiveness":[155],"performance":[157],"MCNMF":[161],"model.":[162],"The":[163],"results":[164],"indicated":[165],"our":[167],"could":[169],"reliably":[170],"predict":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}