{"id":"https://openalex.org/W2911989462","doi":"https://doi.org/10.1109/bibm.2018.8621081","title":"Weighted matrix factorization based data fusion for predicting lncRNA-disease associations","display_name":"Weighted matrix factorization based data fusion for predicting lncRNA-disease associations","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911989462","doi":"https://doi.org/10.1109/bibm.2018.8621081","mag":"2911989462"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2018.8621081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5027082940","display_name":"Guoxian Yu","orcid":"https://orcid.org/0000-0002-1667-6705"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoxian Yu","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581206","display_name":"Yuehui Wang","orcid":"https://orcid.org/0000-0001-9379-0360"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuehui Wang","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384767","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5890-0365"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101990230","display_name":"Guangyuan Fu","orcid":"https://orcid.org/0000-0002-1960-0546"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyuan Fu","raw_affiliation_strings":["College of Computer and Information Sciences, Southwest University, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079800756","display_name":"Maozu Guo","orcid":"https://orcid.org/0000-0001-6228-6276"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maozu Guo","raw_affiliation_strings":["School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090148962","display_name":"Carlotta Domeniconi","orcid":"https://orcid.org/0000-0003-2140-9596"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlotta Domeniconi","raw_affiliation_strings":["Department of Computer Science, George Mason University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027082940"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.7932,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.67395784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"572","last_page":"577"},"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"}},{"id":"https://openalex.org/T11482","display_name":"RNA modifications and cancer","score":0.8999999761581421,"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/computer-science","display_name":"Computer science","score":0.7263677716255188},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6426743268966675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5425662398338318},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5214444994926453},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.491477370262146},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.45768797397613525},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4460780620574951},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4375850260257721},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43059295415878296},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.4144148528575897},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38566023111343384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3755984306335449},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3139498829841614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1666540801525116},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10355067253112793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263677716255188},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6426743268966675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5425662398338318},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5214444994926453},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.491477370262146},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.45768797397613525},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4460780620574951},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4375850260257721},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43059295415878296},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.4144148528575897},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38566023111343384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3755984306335449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3139498829841614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1666540801525116},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10355067253112793},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2018.8621081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2018.8621081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1934134463","https://openalex.org/W1999008082","https://openalex.org/W2001004762","https://openalex.org/W2002185065","https://openalex.org/W2024329298","https://openalex.org/W2030103537","https://openalex.org/W2045156863","https://openalex.org/W2108753466","https://openalex.org/W2110949658","https://openalex.org/W2126504590","https://openalex.org/W2140141449","https://openalex.org/W2146573461","https://openalex.org/W2152970345","https://openalex.org/W2160333540","https://openalex.org/W2296319761","https://openalex.org/W2320656788","https://openalex.org/W2351287725","https://openalex.org/W2408796111","https://openalex.org/W2462108616","https://openalex.org/W2570589864","https://openalex.org/W2739280501","https://openalex.org/W2772618228","https://openalex.org/W2801501532","https://openalex.org/W4250589301","https://openalex.org/W6676253046"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2075222291","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Increasing":[0],"biomedical":[1],"studies":[2],"have":[3,30],"demonstrated":[4],"important":[5],"associations":[6],"between":[7,101,152],"lncRNAs":[8],"and":[9,38,62,111,138,141,161,173,181,199,236,242],"various":[10],"human":[11],"complex":[12],"diseases.":[13],"Developing":[14],"data":[15,34,87,213],"integrative":[16,49],"models":[17,28],"can":[18,221,233],"boost":[19],"the":[20,55,59,63,75,99,128,149,165,169,177,183,191,204,225,229],"performance":[21],"of":[22,58,104,125,127,228],"lncRNA-disease":[23,178],"association":[24,179,230],"identification.":[25],"However,":[26],"existing":[27],"generally":[29],"to":[31,90,135,147,175],"transform":[32],"heterogenous":[33],"into":[35,44],"homologous":[36],"networks,":[37],"then":[39],"sum":[40],"up":[41],"these":[42,72,136,159],"networks":[43,124],"a":[45,82,116,187,200],"composite":[46],"network":[47],"for":[48],"prediction.":[50,184],"The":[51,240],"transformation":[52],"may":[53,66],"conceal":[54],"intrinsic":[56,226],"structure":[57,227],"heterogeneous":[60,117],"data,":[61],"summation":[64],"process":[65],"suffer":[67],"from":[68],"noisy":[69],"networks.":[70],"Both":[71],"issues":[73],"compromise":[74],"performance.":[76],"In":[77,164],"this":[78],"paper,":[79],"we":[80],"introduce":[81],"Weighted":[83],"Matrix":[84],"Factorization":[85],"based":[86],"fusion":[88,214],"solution":[89],"predict":[91],"LncRNA-Disease":[92],"Associations":[93],"(WMFLDA).":[94],"WMFLDA":[95,185,220],"first":[96],"directly":[97],"encodes":[98,121],"inter-associations":[100],"different":[102,217],"types":[103],"biological":[105],"entities":[106,126],"(such":[107],"as":[108],"genes,":[109],"lncRNAs,":[110],"Disease":[112],"Ontology":[113],"terms)":[114],"via":[115],"network,":[118],"which":[119],"also":[120,234],"multiple":[122],"intra-association":[123,139],"same":[129],"type.":[130],"Next,":[131],"it":[132,156,167],"assigns":[133],"weights":[134,160,174],"inter-association":[137],"matrices,":[140,231],"performs":[142],"collaborative":[143],"low-rank":[144,162,171],"matrix":[145,180],"factorization":[146],"explore":[148],"latent":[150],"relationships":[151],"entities.":[153],"After":[154],"that,":[155],"simultaneously":[157],"optimizes":[158],"matrices.":[163],"end,":[166],"uses":[168],"optimized":[170],"matrices":[172],"reconstruct":[176],"accomplish":[182],"achieves":[186],"larger":[188,201],"area":[189,202],"under":[190,203],"receiver":[192],"operating":[193],"curve":[194,206],"(by":[195,207],"at":[196,208,246],"least":[197,209],"7.61%),":[198],"precision-recall":[205],"5.49%)":[210],"than":[211],"competitive":[212],"approaches":[215],"in":[216],"experimental":[218],"scenarios.":[219],"not":[222],"only":[223],"maintain":[224],"but":[232],"selectively":[235],"differentially":[237],"combine":[238],"them.":[239],"codes":[241],"datasets":[243],"are":[244],"available":[245],"http:":[247],"//mlda.swu.edu.cn/codes.php?name=WMFLDA.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
