{"id":"https://openalex.org/W2135286196","doi":"https://doi.org/10.1145/2512089.2512094","title":"Bayesian variable selection for linear regression in high dimensional microarray data","display_name":"Bayesian variable selection for linear regression in high dimensional microarray data","publication_year":2013,"publication_date":"2013-10-29","ids":{"openalex":"https://openalex.org/W2135286196","doi":"https://doi.org/10.1145/2512089.2512094","mag":"2135286196"},"language":"en","primary_location":{"id":"doi:10.1145/2512089.2512094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2512089.2512094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th international workshop on Data and text mining in biomedical informatics","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/A5005852825","display_name":"Wellington Cabrera","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wellington Cabrera","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031610238","display_name":"Carlos Ordo\u0144\u1ebdz","orcid":"https://orcid.org/0009-0005-1135-9726"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Ordonez","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078116667","display_name":"David Sergio Matusevich","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Sergio Matusevich","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024470416","display_name":"Veerabhadran Baladandayuthapani","orcid":"https://orcid.org/0000-0001-9107-3157"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Veerabhadran Baladandayuthapani","raw_affiliation_strings":["University of Texas, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Texas, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005852825"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.4386,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65810159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.996999979019165,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9883000254631042,"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":0.6899965405464172},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5235464572906494},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5099567174911499},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5085328817367554},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4905044436454773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.487736314535141},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.48740485310554504},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.43024134635925293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32242119312286377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2454145848751068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22096467018127441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21648091077804565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899965405464172},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5235464572906494},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5099567174911499},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5085328817367554},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4905044436454773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.487736314535141},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.48740485310554504},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.43024134635925293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32242119312286377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2454145848751068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22096467018127441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21648091077804565},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2512089.2512094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2512089.2512094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th international workshop on Data and text mining in biomedical informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1495644609","https://openalex.org/W1602551265","https://openalex.org/W1966901553","https://openalex.org/W2007069447","https://openalex.org/W2033580055","https://openalex.org/W2154560360","https://openalex.org/W2998216295","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290","https://openalex.org/W4399590296"],"abstract_inverted_index":{"Variable":[0],"selection":[1,23],"is":[2,106,121],"a":[3,13,25,50,64,119,122],"fundamental":[4],"problem":[5],"in":[6],"Bayesian":[7],"statistics":[8],"whose":[9],"solution":[10,20],"requires":[11,30],"exploring":[12],"combinatorial":[14],"search":[15],"space.":[16],"We":[17,34,68,83,100],"study":[18],"the":[19,41,93,112],"of":[21,32,108],"variable":[22,58],"with":[24,71],"well-known":[26],"MCMC":[27,42],"method,":[28],"which":[29],"thousands":[31],"iterations.":[33],"present":[35,69],"several":[36],"algorithmic":[37],"optimizations":[38,54],"to":[39,44,78,91,125],"accelerate":[40],"method":[43],"make":[45],"it":[46],"work":[47,117],"efficiently":[48],"inside":[49],"database":[51],"system.":[52],"Our":[53,116],"include":[55],"sufficient":[56],"statistics,":[57],"preselection,":[59],"hash":[60],"tables":[61],"and":[62],"calling":[63],"linear":[65],"algebra":[66],"library.":[67],"experiments":[70],"very":[72],"high":[73],"dimensional":[74],"microarray":[75,127],"data":[76],"sets":[77],"predict":[79,92],"cancer":[80,98],"survival":[81,94],"time.":[82],"discuss":[84],"encouraging":[85],"findings,":[86],"identifying":[87],"specific":[88],"genes":[89],"likely":[90],"time":[95],"for":[96],"brain":[97],"patients.":[99],"also":[101],"show":[102],"our":[103],"DBMS-based":[104],"algorithm":[105],"orders":[107],"magnitude":[109],"faster":[110],"than":[111],"R":[113],"statistical":[114],"package.":[115],"shows":[118],"DBMS":[120],"promising":[123],"platform":[124],"analyze":[126],"data.":[128]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
