{"id":"https://openalex.org/W1964600692","doi":"https://doi.org/10.1186/1471-2105-10-431","title":"Discovering collectively informative descriptors from high-throughput experiments","display_name":"Discovering collectively informative descriptors from high-throughput experiments","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W1964600692","doi":"https://doi.org/10.1186/1471-2105-10-431","mag":"1964600692","pmid":"https://pubmed.ncbi.nlm.nih.gov/20021653"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-10-431","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-431","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-431","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-431","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073719337","display_name":"Clark Jeffries","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]},{"id":"https://openalex.org/I69048370","display_name":"Renaissance Computing Institute","ror":"https://ror.org/01s91ey96","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535","https://openalex.org/I170897317","https://openalex.org/I69048370"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Clark D Jeffries","raw_affiliation_strings":["Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, NC, USA. clark_jeffries@med.unc.edu","Renaissance Computing Institute, University of North Carolina at Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, NC, USA. clark_jeffries@med.unc.edu","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Renaissance Computing Institute, University of North Carolina at Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177","https://openalex.org/I69048370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110094354","display_name":"William O. Ward","orcid":null},"institutions":[{"id":"https://openalex.org/I1302368450","display_name":"Environmental Protection Agency","ror":"https://ror.org/03tns0030","country_code":"US","type":"government","lineage":["https://openalex.org/I1302368450"]},{"id":"https://openalex.org/I1309191912","display_name":"Research Triangle Park Foundation","ror":"https://ror.org/03eqttr49","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1309191912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William O Ward","raw_affiliation_strings":["NHEERL Environmental Carcinogenesis Division, United States Environmental Protection Agency, Research Triangle Park, NC, USA","NHEERL Environmental Carcinogenesis Division, United States Environmental Protection Agency, Research Triangle Park, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NHEERL Environmental Carcinogenesis Division, United States Environmental Protection Agency, Research Triangle Park, NC, USA","institution_ids":["https://openalex.org/I1302368450","https://openalex.org/I1309191912"]},{"raw_affiliation_string":"NHEERL Environmental Carcinogenesis Division, United States Environmental Protection Agency, Research Triangle Park, USA","institution_ids":["https://openalex.org/I1302368450","https://openalex.org/I1309191912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005838731","display_name":"Diana O. Perkins","orcid":"https://orcid.org/0000-0001-9396-2206"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diana O Perkins","raw_affiliation_strings":["Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA","Department of Psychiatry, University of North Carolina at Chapel Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Psychiatry, University of North Carolina at Chapel Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016238665","display_name":"Fred A. Wright","orcid":"https://orcid.org/0000-0002-8238-6626"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred A Wright","raw_affiliation_strings":["Department of Biostatistics, University of North Carolina at Chapel Hill, NC, USA","Department of Biostatistics, University of North Carolina at Chapel Hill, USA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of North Carolina at Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Biostatistics, University of North Carolina at Chapel Hill, USA,","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073719337"],"corresponding_institution_ids":["https://openalex.org/I114027177","https://openalex.org/I69048370"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.126,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.49896255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"1","first_page":"431","last_page":"431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.2393999993801117,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.2393999993801117,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.15620000660419464,"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":0.125,"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":0.5857862234115601},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5692926645278931},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5125879645347595},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4711293876171112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46971291303634644},{"id":"https://openalex.org/keywords/contingency-table","display_name":"Contingency table","score":0.46486884355545044},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46223124861717224},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.425773561000824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3608701825141907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2749295234680176},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20627066493034363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857862234115601},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5692926645278931},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5125879645347595},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4711293876171112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46971291303634644},{"id":"https://openalex.org/C91998498","wikidata":"https://www.wikidata.org/wiki/Q1541178","display_name":"Contingency table","level":2,"score":0.46486884355545044},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46223124861717224},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.425773561000824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3608701825141907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2749295234680176},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20627066493034363},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D012333","descriptor_name":"RNA, Messenger","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012333","descriptor_name":"RNA, Messenger","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D012333","descriptor_name":"RNA, Messenger","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-10-431","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-431","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-431","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:20021653","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20021653","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":"BMC bioinformatics","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2813853","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2813853","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:cdr.lib.unc.edu:uuid:b158272d-b99f-4399-82ee-67b3829a7be0","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:b158272d-b99f-4399-82ee-67b3829a7be0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f628f51c0bd244eca896830bbeefe074","is_oa":true,"landing_page_url":"https://doaj.org/article/f628f51c0bd244eca896830bbeefe074","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 10, Iss 1, p 431 (2009)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-10-431","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-431","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-431","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3029025342","display_name":null,"funder_award_id":"5P01ES014635-02","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G8107904233","display_name":null,"funder_award_id":"2R01GM066940-05A1","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337361","display_name":"National Institute of Environmental Health Sciences","ror":"https://ror.org/00j4k1h63"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1964600692.pdf","grobid_xml":"https://content.openalex.org/works/W1964600692.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1499151032","https://openalex.org/W1524141331","https://openalex.org/W1571439140","https://openalex.org/W1575005454","https://openalex.org/W1963916765","https://openalex.org/W1977340881","https://openalex.org/W1990435682","https://openalex.org/W2000771269","https://openalex.org/W2020541351","https://openalex.org/W2026496278","https://openalex.org/W2032789303","https://openalex.org/W2035421116","https://openalex.org/W2037536875","https://openalex.org/W2037949612","https://openalex.org/W2045877730","https://openalex.org/W2046675971","https://openalex.org/W2051886524","https://openalex.org/W2058348397","https://openalex.org/W2059848727","https://openalex.org/W2062290101","https://openalex.org/W2065566217","https://openalex.org/W2068972828","https://openalex.org/W2070064901","https://openalex.org/W2074403923","https://openalex.org/W2082480760","https://openalex.org/W2082668371","https://openalex.org/W2086744970","https://openalex.org/W2088783942","https://openalex.org/W2094999165","https://openalex.org/W2097413644","https://openalex.org/W2111080918","https://openalex.org/W2111159494","https://openalex.org/W2121604817","https://openalex.org/W2149109717","https://openalex.org/W2157709503","https://openalex.org/W2159306398","https://openalex.org/W2796349379","https://openalex.org/W2796856748","https://openalex.org/W2796936280","https://openalex.org/W4229954146","https://openalex.org/W4240874411"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2573498121","https://openalex.org/W3160494304","https://openalex.org/W1549477351","https://openalex.org/W2388888344"],"abstract_inverted_index":{"BACKGROUND:":[0],"Improvements":[1],"in":[2,75,129,132,137],"high-throughput":[3],"technology":[4],"and":[5,34,38,82,87,113,185,189,216,231,248],"its":[6],"increasing":[7],"use":[8],"have":[9,236],"led":[10],"to":[11,71,246,262],"the":[12,32,124,141,180],"generation":[13],"of":[14,36,59,65,85,94,103,109,118,126,159,162,193,200,209,266],"many":[15],"highly":[16],"complex":[17],"datasets":[18],"that":[19,43,62,76,214],"often":[20],"address":[21],"similar":[22],"biological":[23],"questions.":[24],"Combining":[25],"information":[26],"from":[27,105],"these":[28],"studies":[29],"can":[30],"increase":[31],"reliability":[33],"generalizability":[35],"results":[37],"also":[39],"yield":[40],"new":[41],"insights":[42],"guide":[44],"future":[45],"research.":[46],"RESULTS:":[47],"This":[48],"paper":[49],"describes":[50],"a":[51,157,169,178,191,207,241],"novel":[52],"algorithm":[53],"called":[54],"BLANKET":[55,100,145,166,243,261],"for":[56,228],"symmetric":[57],"analysis":[58],"two":[60],"experiments":[61,68],"assess":[63],"informativeness":[64],"descriptors.":[66,268],"The":[67],"are":[69,89,122],"required":[70],"be":[72,226,258],"related":[73],"only":[74,250],"their":[77,83],"descriptor":[78],"sets":[79,265],"intersect":[80],"substantially":[81],"definitions":[84],"case":[86],"control":[88],"consistent.":[90],"From":[91,140],"resulting":[92],"lists":[93],"n":[95,184],"descriptors":[96,104,127,210],"ranked":[97],"by":[98,196],"informativeness,":[99],"determines":[101],"shortlists":[102],"each":[106],"experiment,":[107],"generally":[108],"different":[110],"lengths":[111,164],"p":[112],"q.":[114],"For":[115],"any":[116,222,232],"pair":[117,170],"shortlists,":[119,131],"four":[120],"numbers":[121],"evident:":[123],"number":[125],"appearing":[128],"both":[130],"exactly":[133],"one":[134],"shortlist,":[135],"or":[136,171],"neither":[138],"shortlist.":[139],"associated":[142],"contingency":[143],"table,":[144],"computes":[146],"Right":[147],"Fisher":[148],"Exact":[149],"Test":[150],"(RFET)":[151],"values":[152],"used":[153],"as":[154],"scores":[155],"over":[156],"plane":[158],"possible":[160],"pairs":[161,172],"shortlist":[163,186],"12.":[165],"then":[167],"chooses":[168],"with":[173],"RFET":[174],"score":[175],"less":[176,197],"than":[177,198],"threshold;":[179],"threshold":[181],"depends":[182],"upon":[183],"length":[187],"limits":[188],"represents":[190],"quality":[192],"intersection":[194],"achieved":[195],"5%":[199],"random":[201],"lists.":[202],"CONCLUSIONS:":[203],"Researchers":[204],"seek":[205],"within":[206],"universe":[208],"some":[211],"minimal":[212],"subset":[213,224,234],"collectively":[215],"efficiently":[217],"predicts":[218],"experimental":[219],"outcomes.":[220],"Ideally,":[221],"smaller":[223],"should":[225,235],"insufficient":[227],"reliable":[229],"prediction":[230],"larger":[233],"little":[237],"additional":[238],"accuracy.":[239],"As":[240],"method,":[242],"is":[244],"easy":[245],"conceptualize":[247],"presents":[249],"moderate":[251],"computational":[252],"complexity.":[253],"Many":[254],"existing":[255],"databases":[256],"could":[257],"mined":[259],"using":[260],"suggest":[263],"optimal":[264],"predictive":[267]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
