{"id":"https://openalex.org/W3004735450","doi":"https://doi.org/10.1109/access.2020.2972068","title":"Identifying Potential miRNA-Disease Associations Based on an Improved Manifold Learning Framework","display_name":"Identifying Potential miRNA-Disease Associations Based on an Improved Manifold Learning Framework","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3004735450","doi":"https://doi.org/10.1109/access.2020.2972068","mag":"3004735450"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2972068","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2972068","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08985320.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08985320.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101995226","display_name":"Yong Tang","orcid":"https://orcid.org/0000-0002-4858-4012"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Tang","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101691546","display_name":"Gaoming Li","orcid":"https://orcid.org/0000-0002-4068-3139"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaoming Li","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067968258","display_name":"Yazhou Wu","orcid":"https://orcid.org/0000-0002-9521-2940"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yazhou Wu","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101547318","display_name":"Dong Yi","orcid":"https://orcid.org/0000-0002-7881-216X"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yi","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101995226"],"corresponding_institution_ids":["https://openalex.org/I151075929"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1597,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41854412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"33263","last_page":"33275"},"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":0.9998000264167786,"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/T11482","display_name":"RNA modifications and cancer","score":0.9973999857902527,"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/hessian-matrix","display_name":"Hessian matrix","score":0.7999395728111267},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7305507063865662},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6907422542572021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5790589451789856},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5472084283828735},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5270971059799194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5242400765419006},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.507014274597168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4523036777973175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39450299739837646},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.3839336037635803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3823162019252777},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.07998666167259216}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.7999395728111267},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7305507063865662},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6907422542572021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5790589451789856},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5472084283828735},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5270971059799194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5242400765419006},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.507014274597168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523036777973175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39450299739837646},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3839336037635803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3823162019252777},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.07998666167259216},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2972068","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2972068","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08985320.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:41aa31cdffe343e5a11d153e9b8b3ea7","is_oa":true,"landing_page_url":"https://doaj.org/article/41aa31cdffe343e5a11d153e9b8b3ea7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 33263-33275 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2972068","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2972068","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08985320.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G103975856","display_name":null,"funder_award_id":"81473068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1223465815","display_name":null,"funder_award_id":"81573254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7560018291","display_name":null,"funder_award_id":"81872716","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/F4320323154","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21"},{"id":"https://openalex.org/F4320335769","display_name":"Graduate Research and Innovation Projects of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004735450.pdf","grobid_xml":"https://content.openalex.org/works/W3004735450.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W144423133","https://openalex.org/W1436642346","https://openalex.org/W1902027874","https://openalex.org/W1967087625","https://openalex.org/W1970728043","https://openalex.org/W1987455407","https://openalex.org/W1998790582","https://openalex.org/W2004362630","https://openalex.org/W2006169630","https://openalex.org/W2010355969","https://openalex.org/W2013029404","https://openalex.org/W2014946489","https://openalex.org/W2022732522","https://openalex.org/W2027655034","https://openalex.org/W2030166934","https://openalex.org/W2032944446","https://openalex.org/W2034412957","https://openalex.org/W2047967134","https://openalex.org/W2059567292","https://openalex.org/W2065383359","https://openalex.org/W2069370728","https://openalex.org/W2083045667","https://openalex.org/W2090374150","https://openalex.org/W2090382046","https://openalex.org/W2103697417","https://openalex.org/W2106029302","https://openalex.org/W2110541531","https://openalex.org/W2117898853","https://openalex.org/W2122575917","https://openalex.org/W2123688186","https://openalex.org/W2125331746","https://openalex.org/W2126619650","https://openalex.org/W2128768066","https://openalex.org/W2129158737","https://openalex.org/W2129793592","https://openalex.org/W2130993320","https://openalex.org/W2132694427","https://openalex.org/W2141222510","https://openalex.org/W2145361279","https://openalex.org/W2146292498","https://openalex.org/W2152970345","https://openalex.org/W2156838815","https://openalex.org/W2158135353","https://openalex.org/W2162674813","https://openalex.org/W2162877470","https://openalex.org/W2164141029","https://openalex.org/W2317582029","https://openalex.org/W2345920351","https://openalex.org/W2410390867","https://openalex.org/W2464819937","https://openalex.org/W2470925219","https://openalex.org/W2511620854","https://openalex.org/W2592189645","https://openalex.org/W2601934706","https://openalex.org/W2607159126","https://openalex.org/W2750900465","https://openalex.org/W2760130459","https://openalex.org/W2762436345","https://openalex.org/W2765950793","https://openalex.org/W2780777007","https://openalex.org/W2781702232","https://openalex.org/W2782530117","https://openalex.org/W2790406828","https://openalex.org/W2795540478","https://openalex.org/W2799307902","https://openalex.org/W2809363952","https://openalex.org/W2888358121","https://openalex.org/W2890728516","https://openalex.org/W2895927009","https://openalex.org/W2903293710","https://openalex.org/W2904881507","https://openalex.org/W2909927673","https://openalex.org/W2911188335","https://openalex.org/W2922431698","https://openalex.org/W2923922207","https://openalex.org/W2924419230","https://openalex.org/W2942820662","https://openalex.org/W2962928958","https://openalex.org/W2972020367","https://openalex.org/W4246271082","https://openalex.org/W4256413664","https://openalex.org/W6677329495"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"Adequate":[0],"evidence":[1],"has":[2,41],"shown":[3],"that":[4,168],"miRNA-disease":[5,33,59,175],"interactions":[6],"are":[7],"strongly":[8],"involved":[9],"in":[10,121],"the":[11,36,48,69,74,87,91,104,122,163],"pathological":[12],"processes":[13],"of":[14,90,116,146],"complex":[15],"human":[16,141],"diseases.":[17],"However,":[18],"it":[19],"is":[20,170],"commonly":[21],"time-consuming":[22],"and":[23,78,94,119,129],"labor-intensive":[24],"to":[25,30,72,85,99,138],"utilize":[26],"laboratory":[27],"biological":[28],"experiments":[29],"reveal":[31],"unknown":[32],"pairs.":[34,176],"Since":[35],"previously":[37],"proposed":[38],"calculation":[39],"model":[40,64,105],"more":[42],"or":[43],"fewer":[44],"deficiencies,":[45],"we":[46,135],"developed":[47],"semi-supervised":[49],"method":[50],"called":[51],"Hessian":[52,66],"Regularized":[53],"Non-negative":[54],"Matrix":[55],"Factorization":[56],"Method":[57],"for":[58,172],"Association":[60],"prediction":[61],"(HRNMFMDA).":[62],"This":[63],"introduced":[65],"regularization":[67],"into":[68],"NMF":[70],"framework":[71],"preserve":[73],"local":[75,127],"manifold":[76],"information":[77],"increased":[79],"an":[80,95],"$l_{2,1}$":[81],"-norm":[82],"penalty":[83],"term":[84],"ensure":[86],"feature":[88],"selection":[89],"coding":[92],"matrix":[93],"approximate":[96],"orthogonal":[97],"constraint":[98],"obtain":[100],"discriminative":[101],"information.":[102],"In":[103,133],"performance":[106],"evaluation,":[107],"HRNMFMDA":[108,137,169],"outperformed":[109],"eight":[110],"existing":[111],"models,":[112],"achieving":[113],"AUC":[114],"values":[115],"0.9074,":[117],"0.8618,":[118],"0.9044+/-0.0080":[120],"global":[123],"leave-one-out":[124],"cross-validation":[125],"(LOOCV),":[126],"LOOCV":[128],"5-fold":[130],"cross-validation,":[131],"respectively.":[132],"addition,":[134],"applied":[136],"several":[139],"high-incidence":[140],"carcinomas":[142],"via":[143],"three":[144],"kinds":[145],"case":[147],"studies.":[148],"Almost":[149],"all":[150],"predicted":[151],"miRNAs":[152],"were":[153],"confirmed":[154],"by":[155],"external":[156],"databases":[157],"derived":[158],"from":[159],"experimental":[160],"literature.":[161],"Therefore,":[162],"conclusion":[164],"can":[165],"be":[166],"drawn":[167],"reliable":[171],"revealing":[173],"uncovered":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
