{"id":"https://openalex.org/W2104915027","doi":"https://doi.org/10.1093/bioinformatics/btv258","title":"Gene network inference by fusing data from diverse distributions","display_name":"Gene network inference by fusing data from diverse distributions","publication_year":2015,"publication_date":"2015-06-10","ids":{"openalex":"https://openalex.org/W2104915027","doi":"https://doi.org/10.1093/bioinformatics/btv258","mag":"2104915027","pmid":"https://pubmed.ncbi.nlm.nih.gov/26072487"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btv258","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btv258","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/31/12/i230/17102301/btv258.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/31/12/i230/17102301/btv258.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086052373","display_name":"Marinka \u017ditnik","orcid":"https://orcid.org/0000-0001-8530-7228"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]},{"id":"https://openalex.org/I181547552","display_name":"Baylor College of Medicine","ror":"https://ror.org/02pttbw34","country_code":"US","type":"education","lineage":["https://openalex.org/I181547552","https://openalex.org/I2801539370"]}],"countries":["SI","US"],"is_corresponding":false,"raw_author_name":"Marinka \u017ditnik","raw_affiliation_strings":["1 Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia and 2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia and 2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA","institution_ids":["https://openalex.org/I153976015","https://openalex.org/I181547552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073792028","display_name":"Bla\u017e Zupan","orcid":"https://orcid.org/0000-0002-5864-7056"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]},{"id":"https://openalex.org/I181547552","display_name":"Baylor College of Medicine","ror":"https://ror.org/02pttbw34","country_code":"US","type":"education","lineage":["https://openalex.org/I181547552","https://openalex.org/I2801539370"]}],"countries":["SI","US"],"is_corresponding":true,"raw_author_name":"Bla\u017e Zupan","raw_affiliation_strings":["1 Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia and 2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia and 2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA","institution_ids":["https://openalex.org/I153976015","https://openalex.org/I181547552"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073792028"],"corresponding_institution_ids":["https://openalex.org/I153976015","https://openalex.org/I181547552"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":{"value":3618,"currency":"USD","value_usd":3618},"fwci":7.3509,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96874403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"31","issue":"12","first_page":"i230","last_page":"i239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.41839998960494995,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.41839998960494995,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.26600000262260437,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.08009999990463257,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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":0.7918363213539124},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7766103744506836},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.765967607498169},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5673261880874634},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.5358665585517883},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4790005385875702},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4408867359161377},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4327840805053711},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3753240704536438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3213083744049072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918363213539124},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7766103744506836},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.765967607498169},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5673261880874634},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.5358665585517883},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4790005385875702},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4408867359161377},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4327840805053711},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3753240704536438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3213083744049072},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"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":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1093/bioinformatics/btv258","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btv258","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/31/12/i230/17102301/btv258.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26072487","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26072487","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":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:repozitorij.uni-lj.si:IzpisGradiva.php?id=73069","is_oa":true,"landing_page_url":"https://repozitorij.uni-lj.si/IzpisGradiva.php?id=73069","pdf_url":null,"source":{"id":"https://openalex.org/S4377196268","display_name":"Repository of the University of Ljubljana (University of Ljubljana)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I153976015","host_organization_name":"University of Ljubljana","host_organization_lineage":["https://openalex.org/I153976015"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:europepmc.org:3519940","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4542780","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:open-archive.highwire.org:bioinfo:31/12/i230","is_oa":false,"landing_page_url":"http://bioinformatics.oxfordjournals.org/cgi/content/short/31/12/i230","pdf_url":null,"source":{"id":"https://openalex.org/S4406923041","display_name":"HighWire Press Open Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"TEXT"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btv258","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btv258","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/31/12/i230/17102301/btv258.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1162140856","display_name":null,"funder_award_id":"P01 HD39691","funder_id":"https://openalex.org/F4320337611","funder_display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development"},{"id":"https://openalex.org/G1232431644","display_name":"Premagovanje prekletstva dimenzionalnosti z uporabo predznanja (Slovene)","funder_award_id":"J2-5480","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G566512943","display_name":null,"funder_award_id":"P01 HD039691","funder_id":"https://openalex.org/F4320337611","funder_display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development"},{"id":"https://openalex.org/G5769677123","display_name":"Artificial Intelligence and Intelligent Systems","funder_award_id":"P2-0209","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G600213000","display_name":"PROJECT I - Analysis of Gene Function by Parallel Phenotyping","funder_award_id":"4p01hd039691-15","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337611","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2104915027.pdf","grobid_xml":"https://content.openalex.org/works/W2104915027.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W1503398984","https://openalex.org/W1520053542","https://openalex.org/W1798999207","https://openalex.org/W1968295028","https://openalex.org/W1980345828","https://openalex.org/W1981509058","https://openalex.org/W1990153910","https://openalex.org/W2000534401","https://openalex.org/W2002036160","https://openalex.org/W2010824638","https://openalex.org/W2019935777","https://openalex.org/W2045156863","https://openalex.org/W2045591588","https://openalex.org/W2068015060","https://openalex.org/W2070740689","https://openalex.org/W2072871705","https://openalex.org/W2081375228","https://openalex.org/W2093269314","https://openalex.org/W2097343780","https://openalex.org/W2100398996","https://openalex.org/W2102325421","https://openalex.org/W2103017472","https://openalex.org/W2106398669","https://openalex.org/W2109384743","https://openalex.org/W2114358147","https://openalex.org/W2117994680","https://openalex.org/W2121906867","https://openalex.org/W2122718339","https://openalex.org/W2122825543","https://openalex.org/W2128208871","https://openalex.org/W2132555912","https://openalex.org/W2133102806","https://openalex.org/W2136549265","https://openalex.org/W2137892504","https://openalex.org/W2139594804","https://openalex.org/W2150002853","https://openalex.org/W2150579376","https://openalex.org/W2154290889","https://openalex.org/W2154293840","https://openalex.org/W2154313625","https://openalex.org/W2161148924","https://openalex.org/W2290703437","https://openalex.org/W2800394774","https://openalex.org/W2974701791","https://openalex.org/W3017143921","https://openalex.org/W3098834468","https://openalex.org/W3098888484","https://openalex.org/W3100838142","https://openalex.org/W6635196568","https://openalex.org/W6661963073","https://openalex.org/W6675079100","https://openalex.org/W6680564993","https://openalex.org/W6682342736","https://openalex.org/W6697084107"],"related_works":["https://openalex.org/W2952350108","https://openalex.org/W2130561717","https://openalex.org/W2776613281","https://openalex.org/W2070797946","https://openalex.org/W4375945953","https://openalex.org/W2952102737","https://openalex.org/W1549765610","https://openalex.org/W1849082027","https://openalex.org/W396508554","https://openalex.org/W4300555310"],"abstract_inverted_index":{"MOTIVATION:":[0],"Markov":[1,90],"networks":[2,59,95,183],"are":[3,8,60,70],"undirected":[4],"graphical":[5,149,170],"models":[6],"that":[7,36,72,93,127,190],"widely":[9],"used":[10],"to":[11,62,146,158,179],"infer":[12],"relations":[13],"between":[14],"genes":[15],"from":[16,27,37,50,96,115],"experimental":[17],"data.":[18],"Their":[19],"state-of-the-art":[20],"inference":[21,180,192],"procedures":[22],"assume":[23],"the":[24,203],"data":[25,48,77,196,204],"arise":[26,49],"a":[28,89,97,134,166],"Gaussian":[29],"distribution.":[30],"High-throughput":[31],"omics":[32],"data,":[33,165],"such":[34],"as":[35],"next":[38],"generation":[39],"sequencing,":[40],"often":[41],"violates":[42],"this":[43],"assumption.":[44],"Furthermore,":[45],"when":[46],"collected":[47],"multiple":[51],"related":[52],"but":[53],"otherwise":[54],"nonidentical":[55],"distributions,":[56],"their":[57],"underlying":[58],"likely":[61],"have":[63],"common":[64],"features.":[65],"New":[66],"principled":[67],"statistical":[68],"approaches":[69],"needed":[71],"can":[73,197],"deal":[74],"with":[75],"different":[76],"distributions":[78,114],"and":[79,108,162],"jointly":[80],"consider":[81],"collections":[82],"of":[83,99,113,130,142,169,173,181,202],"datasets.":[84,102],"RESULTS:":[85],"We":[86,151],"present":[87],"FuseNet,":[88],"network":[91,131,191],"formulation":[92],"infers":[94],"collection":[98],"nonidentically":[100],"distributed":[101],"Our":[103,187],"approach":[104],"is":[105,215],"computationally":[106],"efficient":[107],"general:":[109],"given":[110],"any":[111],"number":[112],"an":[116,156],"exponential":[117],"family,":[118],"FuseNet":[119,143],"represents":[120],"model":[121],"parameters":[122],"through":[123],"shared":[124],"latent":[125],"factors":[126],"define":[128],"neighborhoods":[129],"nodes.":[132],"In":[133],"simulation":[135],"study,":[136],"we":[137],"demonstrate":[138,189],"good":[139],"predictive":[140],"performance":[141],"in":[144,155,199],"comparison":[145],"several":[147],"popular":[148],"models.":[150,171],"show":[152],"its":[153],"effectiveness":[154],"application":[157,168],"breast":[159],"cancer":[160],"RNA-sequencing":[161],"somatic":[163],"mutation":[164],"novel":[167],"Fusion":[172],"datasets":[174],"offers":[175],"substantial":[176],"gains":[177],"relative":[178],"separate":[182],"for":[184,194],"each":[185],"dataset.":[186],"results":[188],"methods":[193],"non-Gaussian":[195],"help":[198],"accurate":[200],"modeling":[201],"generated":[205],"by":[206],"emergent":[207],"high-throughput":[208],"technologies.":[209],"AVAILABILITY":[210],"AND":[211],"IMPLEMENTATION:":[212],"Source":[213],"code":[214],"at":[216],"https://github.com/marinkaz/fusenet.":[217]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}