{"id":"https://openalex.org/W2574140513","doi":"https://doi.org/10.1109/bibm.2016.7822542","title":"Robust Inductive Matrix Completion strategy to explore associations between lincRNAs and human disease phenotypes","display_name":"Robust Inductive Matrix Completion strategy to explore associations between lincRNAs and human disease phenotypes","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2574140513","doi":"https://doi.org/10.1109/bibm.2016.7822542","mag":"2574140513"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2016.7822542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074501326","display_name":"Ashis Kumer Biswas","orcid":"https://orcid.org/0000-0002-7446-4639"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashis Kumer Biswas","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Texas, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Texas, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080215015","display_name":"Dongchul Kim","orcid":"https://orcid.org/0000-0002-5659-1394"},"institutions":[{"id":"https://openalex.org/I2802326326","display_name":"The University of Texas Rio Grande Valley","ror":"https://ror.org/02p5xjf12","country_code":"US","type":"education","lineage":["https://openalex.org/I2802326326"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong-Chul Kim","raw_affiliation_strings":["Dept. of Computer Science, University of Texas Rio Grande Valley, Edinburg, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Texas Rio Grande Valley, Edinburg, TX","institution_ids":["https://openalex.org/I2802326326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084763595","display_name":"Mingon Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingon Kang","raw_affiliation_strings":["Dept. of Computer Science, Kennesaw State University, Marietta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Kennesaw State University, Marietta, GA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015128288","display_name":"Jean Gao","orcid":"https://orcid.org/0000-0002-9077-7803"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean X. Gao","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Texas, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Texas, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"334","last_page":"339"},"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":0.9368000030517578,"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"}},{"id":"https://openalex.org/T10604","display_name":"RNA Research and Splicing","score":0.9042999744415283,"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":0.680168867111206},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6054698824882507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5378500819206238},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.47482261061668396},{"id":"https://openalex.org/keywords/in-silico","display_name":"In silico","score":0.46232178807258606},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45002231001853943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4353894591331482},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4168321192264557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4066302478313446},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.37580087780952454},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.29105818271636963},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.12417060136795044},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.10544371604919434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.680168867111206},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6054698824882507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5378500819206238},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.47482261061668396},{"id":"https://openalex.org/C2775905019","wikidata":"https://www.wikidata.org/wiki/Q192572","display_name":"In silico","level":3,"score":0.46232178807258606},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45002231001853943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4353894591331482},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4168321192264557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4066302478313446},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.37580087780952454},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.29105818271636963},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.12417060136795044},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.10544371604919434},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2016.7822542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1978611515","https://openalex.org/W1983335031","https://openalex.org/W2014162182","https://openalex.org/W2017921654","https://openalex.org/W2022978200","https://openalex.org/W2023691360","https://openalex.org/W2046387002","https://openalex.org/W2063040470","https://openalex.org/W2070777085","https://openalex.org/W2105116456","https://openalex.org/W2108753466","https://openalex.org/W2128983843","https://openalex.org/W2142023052","https://openalex.org/W2152970345","https://openalex.org/W2160333540","https://openalex.org/W2162151166","https://openalex.org/W2165154206","https://openalex.org/W2171837816","https://openalex.org/W2189936406","https://openalex.org/W2284713259","https://openalex.org/W6676253046","https://openalex.org/W6687290802"],"related_works":["https://openalex.org/W2912862995","https://openalex.org/W3129816939","https://openalex.org/W2985427592","https://openalex.org/W2101501829","https://openalex.org/W2003194288","https://openalex.org/W2400569965","https://openalex.org/W2060263731","https://openalex.org/W391093122","https://openalex.org/W1521239975","https://openalex.org/W4361305867"],"abstract_inverted_index":{"Long":[0],"intergenic":[1],"non-coding":[2],"RNAs":[3],"(lincRNAs)":[4],"are":[5,20,50],"associated":[6],"with":[7,83,152,187],"a":[8,52,84,110,153,207],"wide":[9],"variety":[10],"of":[11,15,64,113,156,159,173,209],"human":[12],"diseases.":[13,74],"Piles":[14],"data":[16,39,69],"about":[17,70],"the":[18,25,44,67,71,87,102,107,120,141,146,160,168,178,183,198],"lincRNAs":[19,72,147],"becoming":[21],"available,":[22],"thanks":[23],"to":[24,42,60,101,117,132,140,182,206],"High":[26],"Throughput":[27],"Sequencing":[28],"(HTS)":[29],"platforms,":[30],"which":[31],"open":[32],"opportunity":[33],"for":[34,201],"cutting-edge":[35],"machine":[36],"learning":[37],"and":[38,62,73,104,148,175],"mining":[40],"approaches":[41],"analyze":[43],"disease":[45,150,180,204],"association":[46,56,143],"better.":[47],"However,":[48],"there":[49],"only":[51],"few":[53],"in":[54,106,171],"silico":[55],"inference":[57],"tools":[58],"available":[59,142],"date,":[61],"none":[63],"them":[65],"utilizes":[66],"heterogeneous":[68],"The":[75,162],"standard":[76,199],"Inductive":[77,128],"Matrix":[78,129],"Completion":[79,130],"(IMC)":[80],"technique":[81],"provides":[82],"platform":[85],"among":[86],"two":[88,97],"entities":[89],"considering":[90],"respective":[91],"side":[92,157],"information.":[93],"But,":[94],"it":[95],"has":[96],"major":[98],"issues":[99],"pertaining":[100],"noise":[103],"sparsity":[105],"dataset.":[108],"Thus,":[109],"robust":[111],"version":[112],"IMC":[114,200],"is":[115],"needed":[116],"adequately":[118],"address":[119,133],"issues.":[121],"In":[122],"this":[123],"paper,":[124],"we":[125,137,191],"propose":[126],"Robust":[127],"(RIMC)":[131],"these":[134],"challenges.":[135],"Then,":[136],"applied":[138],"RIMC":[139,194],"dataset":[144],"between":[145],"OMIM":[149],"phenotypes":[151,205],"diverse":[154],"set":[155,208],"information":[158],"both.":[161],"proposed":[163],"method":[164],"performs":[165,195],"better":[166],"than":[167,197],"state-of-the-art":[169],"methods":[170],"terms":[172],"precision@k":[174],"recall@k":[176],"at":[177],"top-k":[179],"prioritization":[181],"subject":[184],"lincRNAs.":[185,211],"Moreover,":[186],"an":[188],"induction":[189],"experiment":[190],"showed":[192],"that":[193],"superior":[196],"ranking":[202],"unexplored":[203],"known":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}