{"id":"https://openalex.org/W1966843241","doi":"https://doi.org/10.1109/gensips.2012.6507754","title":"Optimal Bayesian classification and its application to gene regulatory networks","display_name":"Optimal Bayesian classification and its application to gene regulatory networks","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W1966843241","doi":"https://doi.org/10.1109/gensips.2012.6507754","mag":"1966843241"},"language":"en","primary_location":{"id":"doi:10.1109/gensips.2012.6507754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","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/A5037999551","display_name":"Lori A. Dalton","orcid":"https://orcid.org/0000-0001-8715-5723"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lori Dalton","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA","Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112221423","display_name":"Edward R. Dougherty","orcid":null},"institutions":[{"id":"https://openalex.org/I1284308235","display_name":"Translational Genomics Research Institute","ror":"https://ror.org/02hfpnk21","country_code":"US","type":"facility","lineage":["https://openalex.org/I1284308235"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward R. Dougherty","raw_affiliation_strings":["Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA","Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Computational Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA","institution_ids":["https://openalex.org/I1284308235"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037999551"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.2627,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55587518,"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":"164","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9988999962806702,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9988999962806702,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9961000084877014,"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":0.9642000198364258,"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/bayesian-network","display_name":"Bayesian network","score":0.6184715032577515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614799439907074},{"id":"https://openalex.org/keywords/gene-regulatory-network","display_name":"Gene regulatory network","score":0.5456240773200989},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5374418497085571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4931938052177429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39490947127342224},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.36674565076828003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3410535752773285},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3129514455795288},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13682886958122253},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13630598783493042},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.1336917281150818}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6184715032577515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614799439907074},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5456240773200989},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5374418497085571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4931938052177429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39490947127342224},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.36674565076828003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3410535752773285},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3129514455795288},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13682886958122253},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13630598783493042},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.1336917281150818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gensips.2012.6507754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","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":13,"referenced_works":["https://openalex.org/W1564947197","https://openalex.org/W1964496517","https://openalex.org/W1998454051","https://openalex.org/W2057658881","https://openalex.org/W2104738901","https://openalex.org/W2112207178","https://openalex.org/W2134258050","https://openalex.org/W2134717973","https://openalex.org/W2158111773","https://openalex.org/W2166122445","https://openalex.org/W2166162270","https://openalex.org/W6679815623","https://openalex.org/W6684339908"],"related_works":["https://openalex.org/W183875134","https://openalex.org/W3154094704","https://openalex.org/W1547016179","https://openalex.org/W3150265835","https://openalex.org/W4200196661","https://openalex.org/W1956930971","https://openalex.org/W2032929146","https://openalex.org/W2902946190","https://openalex.org/W2029617325","https://openalex.org/W2368984408"],"abstract_inverted_index":{"A":[0],"recently":[1],"proposed":[2,70],"Bayesian":[3,110],"theory":[4,54,76],"of":[5,94],"classification":[6],"can":[7,113],"incorporate":[8],"prior":[9,98],"knowledge":[10,99],"in":[11,39,107],"the":[12,75,91,116],"model":[13],"to":[14,49,58],"facilitate":[15],"optimization":[16],"and":[17,23,46,64,77,84],"analysis":[18],"for":[19,67],"both":[20],"classifier":[21,111],"design":[22],"error":[24],"estimation.":[25],"Rather":[26],"than":[27],"rely":[28],"on":[29,90],"heuristic":[30],"algorithms,":[31],"this":[32],"work":[33],"is":[34,100],"inspired":[35],"by":[36],"Wiener":[37],"filtering":[38],"that":[40,112],"it":[41],"clearly":[42],"states":[43],"modeling":[44],"assumptions":[45],"uses":[47],"these":[48],"find":[50],"optimal":[51,109],"operators.":[52],"The":[53],"also":[55],"gives":[56],"rise":[57],"a":[59,62,69,103],"sample-conditioned":[60],"MSE,":[61],"new":[63],"useful":[65],"tool":[66],"validating":[68],"classifier.":[71],"Herein,":[72],"we":[73],"summarize":[74],"present":[78],"an":[79,108],"example":[80],"classifying":[81],"between":[82],"normal":[83],"mutated":[85],"gene":[86],"regulatory":[87],"networks":[88],"based":[89],"observed":[92],"state":[93],"several":[95],"genes.":[96],"Partial":[97],"built":[101],"into":[102],"discrete":[104,118],"model,":[105],"resulting":[106],"significantly":[114],"outperform":[115],"popular":[117],"histogram":[119],"rule.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}