{"id":"https://openalex.org/W2970225329","doi":"https://doi.org/10.1109/jbhi.2019.2937827","title":"LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring","display_name":"LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2970225329","doi":"https://doi.org/10.1109/jbhi.2019.2937827","mag":"2970225329","pmid":"https://pubmed.ncbi.nlm.nih.gov/31478878"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2019.2937827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2937827","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5058029547","display_name":"Zhen Cui","orcid":"https://orcid.org/0000-0001-5522-6750"},"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 Cui","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073144090","display_name":"Jin\u2010Xing Liu","orcid":"https://orcid.org/0000-0001-6104-2149"},"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":"Jin-Xing Liu","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026569643","display_name":"Ying-Lian Gao","orcid":"https://orcid.org/0000-0003-0483-5622"},"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":"Ying-Lian Gao","raw_affiliation_strings":["Library of Qufu Normal University, Qufu Normal University, Rizhao, China"],"affiliations":[{"raw_affiliation_string":"Library of Qufu Normal University, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749286","display_name":"Rong Zhu","orcid":"https://orcid.org/0000-0002-0687-7343"},"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":"Rong Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011951772","display_name":"Shasha Yuan","orcid":"https://orcid.org/0000-0003-4792-9880"},"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":"Sha-Sha Yuan","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058029547"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":1.5304,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.80818549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"24","issue":"5","first_page":"1519","last_page":"1527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","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/T10515","display_name":"Cancer-related molecular mechanisms research","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6236510872840881},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.6187381148338318},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5583239197731018},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5024573802947998},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48689404129981995},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4662083089351654},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4535336494445801},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.41062450408935547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3768022954463959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3728862702846527},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18374675512313843},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08941638469696045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6236510872840881},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.6187381148338318},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5583239197731018},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5024573802947998},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48689404129981995},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4662083089351654},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4535336494445801},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.41062450408935547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3768022954463959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3728862702846527},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18374675512313843},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08941638469696045},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"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":"D062085","descriptor_name":"RNA, Long Noncoding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D062085","descriptor_name":"RNA, Long Noncoding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D062085","descriptor_name":"RNA, Long Noncoding","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2019.2937827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2019.2937827","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:31478878","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31478878","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G276912340","display_name":null,"funder_award_id":"61701279","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/G5860415692","display_name":null,"funder_award_id":"61572284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6334930974","display_name":null,"funder_award_id":"61972226","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":52,"referenced_works":["https://openalex.org/W251358359","https://openalex.org/W611910056","https://openalex.org/W1158178075","https://openalex.org/W1975847255","https://openalex.org/W1976526581","https://openalex.org/W1983335031","https://openalex.org/W1986705163","https://openalex.org/W1999746344","https://openalex.org/W2000875411","https://openalex.org/W2002185065","https://openalex.org/W2010622483","https://openalex.org/W2039816251","https://openalex.org/W2049621625","https://openalex.org/W2051216358","https://openalex.org/W2059191987","https://openalex.org/W2071271349","https://openalex.org/W2073136316","https://openalex.org/W2086968193","https://openalex.org/W2087377443","https://openalex.org/W2106029302","https://openalex.org/W2108051165","https://openalex.org/W2109100311","https://openalex.org/W2109895094","https://openalex.org/W2128983843","https://openalex.org/W2130388134","https://openalex.org/W2139736926","https://openalex.org/W2141222510","https://openalex.org/W2146573461","https://openalex.org/W2148629421","https://openalex.org/W2152970345","https://openalex.org/W2153838454","https://openalex.org/W2161607603","https://openalex.org/W2258129851","https://openalex.org/W2269628271","https://openalex.org/W2320656788","https://openalex.org/W2408796111","https://openalex.org/W2462108616","https://openalex.org/W2611747160","https://openalex.org/W2612835976","https://openalex.org/W2757497299","https://openalex.org/W2772618228","https://openalex.org/W2780777007","https://openalex.org/W2780779540","https://openalex.org/W2781702232","https://openalex.org/W2799307902","https://openalex.org/W2801501532","https://openalex.org/W2802616725","https://openalex.org/W2888358121","https://openalex.org/W2891866117","https://openalex.org/W2912204568","https://openalex.org/W6609324540","https://openalex.org/W6718962110"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W2080136900","https://openalex.org/W2999799752","https://openalex.org/W2372768926","https://openalex.org/W2054458431","https://openalex.org/W2115167491","https://openalex.org/W3119869160","https://openalex.org/W3207388504"],"abstract_inverted_index":{"There":[0],"is":[1,9,16,39,47,80,140],"much":[2],"evidence":[3],"that":[4],"long":[5],"non-coding":[6],"RNA":[7],"(lncRNA)":[8],"associated":[10],"with":[11,74],"many":[12],"diseases.":[13,57],"However,":[14],"it":[15,46],"time-consuming":[17],"and":[18,41,53,94,104,123,155,162],"expensive":[19],"to":[20,34,49,131,142,151,168],"identify":[21,35],"meaningful":[22,37],"lncRNA-disease":[23],"associations":[24],"(LDAs)":[25],"through":[26],"medical":[27],"or":[28],"biological":[29],"experiments.":[30],"Therefore,":[31],"investigating":[32],"how":[33],"more":[36],"LDAs":[38,89,176],"necessary,":[40],"at":[42],"the":[43,50,59,91,95,109,133,153,181],"same":[44],"time":[45],"conducive":[48],"prevention,":[51],"diagnosis":[52],"treatment":[54],"of":[55,61,135,157],"complex":[56],"Considering":[58],"limitations":[60],"some":[62,102],"current":[63,143],"prediction":[64],"models,":[65],"a":[66],"novel":[67,88,175],"model":[68,73,86,110,139],"based":[69],"on":[70],"bipartite":[71],"local":[72],"nearest":[75,117],"profile-based":[76],"association":[77],"inferring,":[78],"BLM-NPAI,":[79,158],"developed":[81],"for":[82,101,129],"predicting":[83],"LDAs.":[84],"This":[85],"predicts":[87],"from":[90],"lncRNA":[92,164],"side":[93],"disease":[96,160],"side,":[97],"respectively.":[98],"More":[99],"importantly,":[100],"lncRNAs":[103],"diseases":[105],"without":[106],"any":[107],"association,":[108],"can":[111],"also":[112],"be":[113],"predicted":[114,174],"by":[115,179],"their":[116],"neighbors.":[118],"Leave-one-out":[119],"cross":[120,125],"validation":[121,126],"(LOOCV)":[122],"5-fold":[124],"are":[127,166,177],"implemented":[128],"BLM-NPAI":[130],"evaluate":[132,170],"performance":[134],"this":[136],"model.":[137],"Our":[138],"superior":[141],"advanced":[144],"methods":[145],"in":[146],"most":[147],"cases.":[148],"In":[149],"addition,":[150],"verify":[152],"validity":[154],"reliability":[156],"three":[159,163],"cases":[161,165],"analyzed":[167],"further":[169],"BLM-NPAI.":[171],"Finally,":[172],"these":[173],"confirmed":[178],"using":[180],"LncRNA-disease":[182],"database.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
