{"id":"https://openalex.org/W2778292275","doi":"https://doi.org/10.1186/s12859-017-1893-4","title":"Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors","display_name":"Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2778292275","doi":"https://doi.org/10.1186/s12859-017-1893-4","mag":"2778292275","pmid":"https://pubmed.ncbi.nlm.nih.gov/29297278"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-017-1893-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1893-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1893-4","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":null,"license_id":null,"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/track/pdf/10.1186/s12859-017-1893-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046509031","display_name":"Shahin Boluki","orcid":"https://orcid.org/0000-0002-5015-8995"},"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":"Shahin Boluki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA. s.boluki@tamu.edu","Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA. s.boluki@tamu.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013352965","display_name":"Mohammad Shahrokh Esfahani","orcid":"https://orcid.org/0000-0002-0950-3937"},"institutions":[{"id":"https://openalex.org/I4210155419","display_name":"Center for Systems Biology","ror":"https://ror.org/05r3dyn47","country_code":"US","type":"facility","lineage":["https://openalex.org/I136199984","https://openalex.org/I4210087915","https://openalex.org/I4210155419","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Shahrokh Esfahani","raw_affiliation_strings":["Division of Oncology and Center for Cancer Systems Biology, Stanford School of Medicine, 291 Campus Drive, Stanford, 94305, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Oncology and Center for Cancer Systems Biology, Stanford School of Medicine, 291 Campus Drive, Stanford, 94305, CA, USA","institution_ids":["https://openalex.org/I4210155419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073946580","display_name":"Xiaoning Qian","orcid":"https://orcid.org/0000-0002-4347-2476"},"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":false,"raw_author_name":"Xiaoning Qian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, 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/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":["Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas A&M University, MS3128 TAMU, College Station, 77843, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046509031"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":5.4095,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9653675,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"18","issue":"S14","first_page":"552","last_page":"552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.36010000109672546,"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":0.36010000109672546,"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/T10885","display_name":"Gene expression and cancer classification","score":0.25380000472068787,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.09109999984502792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7964867353439331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415688395500183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6073177456855774},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5863611698150635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847209692001343},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5742168426513672},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.46958035230636597},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4457472264766693},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4267764687538147},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4173167049884796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34684500098228455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1764553189277649},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11266925930976868}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7964867353439331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415688395500183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6073177456855774},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5863611698150635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847209692001343},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5742168426513672},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.46958035230636597},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4457472264766693},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4267764687538147},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4173167049884796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34684500098228455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1764553189277649},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11266925930976868},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D002289","descriptor_name":"Carcinoma, Non-Small-Cell Lung","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D002453","descriptor_name":"Cell Cycle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002453","descriptor_name":"Cell Cycle","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002453","descriptor_name":"Cell Cycle","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":"D007257","descriptor_name":"Information Theory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007257","descriptor_name":"Information Theory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007257","descriptor_name":"Information Theory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016159","descriptor_name":"Tumor Suppressor Protein p53","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016159","descriptor_name":"Tumor Suppressor Protein p53","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D016159","descriptor_name":"Tumor Suppressor Protein p53","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-017-1893-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1893-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1893-4","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29297278","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29297278","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":null},{"id":"pmh:oai:doaj.org/article:9481b2336f16497dae5b63910c0c7cc9","is_oa":true,"landing_page_url":"https://doaj.org/article/9481b2336f16497dae5b63910c0c7cc9","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 18, Iss S14, Pp 61-80 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4668089","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5751802","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-017-1893-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1893-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1893-4","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3575786435","display_name":null,"funder_award_id":"1534534","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3936902016","display_name":null,"funder_award_id":"1553281","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4552275141","display_name":null,"funder_award_id":"CCF-1553281","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2778292275.pdf","grobid_xml":"https://content.openalex.org/works/W2778292275.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W23729838","https://openalex.org/W69468016","https://openalex.org/W101663867","https://openalex.org/W1489119587","https://openalex.org/W1971224531","https://openalex.org/W1971536112","https://openalex.org/W1985093013","https://openalex.org/W1985495956","https://openalex.org/W1986480666","https://openalex.org/W1988010755","https://openalex.org/W1992045522","https://openalex.org/W1999640431","https://openalex.org/W2001220384","https://openalex.org/W2006681603","https://openalex.org/W2009720434","https://openalex.org/W2017103957","https://openalex.org/W2023910541","https://openalex.org/W2028634149","https://openalex.org/W2032558547","https://openalex.org/W2035072927","https://openalex.org/W2044593983","https://openalex.org/W2049480816","https://openalex.org/W2058237157","https://openalex.org/W2068762252","https://openalex.org/W2076037741","https://openalex.org/W2077575889","https://openalex.org/W2077813311","https://openalex.org/W2087167584","https://openalex.org/W2088538053","https://openalex.org/W2088558695","https://openalex.org/W2091635845","https://openalex.org/W2101887349","https://openalex.org/W2106370119","https://openalex.org/W2106596127","https://openalex.org/W2110256992","https://openalex.org/W2113582979","https://openalex.org/W2114843025","https://openalex.org/W2115041568","https://openalex.org/W2115350121","https://openalex.org/W2119821739","https://openalex.org/W2120261416","https://openalex.org/W2120324727","https://openalex.org/W2124167150","https://openalex.org/W2128689695","https://openalex.org/W2129158580","https://openalex.org/W2130204091","https://openalex.org/W2132935366","https://openalex.org/W2134258050","https://openalex.org/W2134555649","https://openalex.org/W2134717973","https://openalex.org/W2138031337","https://openalex.org/W2139606141","https://openalex.org/W2146408674","https://openalex.org/W2149064745","https://openalex.org/W2149441684","https://openalex.org/W2153684756","https://openalex.org/W2157907940","https://openalex.org/W2158294624","https://openalex.org/W2159482845","https://openalex.org/W2160533336","https://openalex.org/W2163738067","https://openalex.org/W2166122445","https://openalex.org/W2166162270","https://openalex.org/W2226174940","https://openalex.org/W2294604761","https://openalex.org/W2330820318","https://openalex.org/W2530014580","https://openalex.org/W2607893089","https://openalex.org/W2774435077","https://openalex.org/W2911964244","https://openalex.org/W3085162807","https://openalex.org/W3102599985","https://openalex.org/W4231518691","https://openalex.org/W4249186015","https://openalex.org/W4292691288","https://openalex.org/W4294216483","https://openalex.org/W6843735874","https://openalex.org/W6858028095"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2085259108","https://openalex.org/W2482641102","https://openalex.org/W2793406240","https://openalex.org/W2164129707","https://openalex.org/W4292122269"],"abstract_inverted_index":{"BACKGROUND:":[0],"Phenotypic":[1],"classification":[2,42,45,58,103,278],"is":[3,17,31,60,75,90,104,145,203],"problematic":[4],"because":[5],"small":[6,287,337],"samples":[7],"are":[8,65,190,285,336],"ubiquitous;":[9],"and,":[10],"for":[11,26],"these,":[12],"use":[13],"of":[14,86,122,127,180,199,216,228,275,304,313,328],"prior":[15,63,87,105,114,134,139,181,238,249,254,269],"knowledge":[16,20,88,239,270,312,329],"critical.":[18],"If":[19],"concerning":[21],"the":[22,79,125,135,156,178,200,210,236,253,273,302,318],"feature-label":[23,80],"distribution":[24],"-":[25,30],"instance,":[27],"genetic":[28],"pathways":[29],"available,":[32],"then":[33],"it":[34,153],"can":[35,165,321],"be":[36,166,322],"used":[37],"in":[38,55,124,159,195,264],"learning.":[39],"Optimal":[40],"Bayesian":[41,53,72,102,277],"provides":[43],"optimal":[44,71,101,276],"under":[46],"model":[47,59,68,187],"uncertainty.":[48],"It":[49],"differs":[50],"from":[51],"classical":[52,94],"methods":[54,151,202],"which":[56,82,192],"a":[57,112,119,184,214,222,258,325],"assumed":[61],"and":[62,89,163,213,219,288,310,331],"distributions":[64],"placed":[66],"on":[67,78,118,205,221,240],"parameters.":[69],"With":[70],"classification,":[73],"uncertainty":[74],"treated":[76],"directly":[77],"distribution,":[81],"assures":[83],"full":[84],"utilization":[85],"guaranteed":[91],"to":[92,183,257,279,324],"outperform":[93],"methods.":[95],"RESULTS:":[96],"The":[97,141,197,245],"salient":[98],"problem":[99],"confronting":[100],"construction.":[106],"In":[107],"this":[108,133],"paper,":[109],"we":[110],"propose":[111],"new":[113,142,246],"construction":[115,182,250,255],"methodology":[116,256],"based":[117],"general":[120,248],"framework":[121,144,251,261],"constraints":[123],"form":[126],"conditional":[128],"probability":[129],"statements.":[130],"We":[131,175,299],"call":[132],"maximal":[136],"knowledge-driven":[137],"information":[138,309],"(MKDIP).":[140],"constraint":[143],"more":[146,259],"flexible":[147,260],"than":[148],"our":[149,305],"previous":[150],"as":[152,172],"naturally":[154],"handles":[155],"potential":[157],"inconsistency":[158],"archived":[160],"regulatory":[161],"relationships":[162],"conditioning":[164],"augmented":[167],"by":[168],"other":[169,332],"knowledge,":[170],"such":[171],"population":[173],"statistics.":[174],"also":[176,220],"extend":[177],"application":[179],"multinomial":[185,280],"mixture":[186],"when":[188,233,267,334],"labels":[189],"unknown,":[191],"often":[193],"occurs":[194],"practice.":[196],"performance":[198],"proposed":[201,247],"examined":[204],"two":[206],"important":[207],"pathway":[208,308],"families,":[209],"mammalian":[211],"cell-cycle":[212],"set":[215],"p53-related":[217],"pathways,":[218],"publicly":[223],"available":[224,311],"gene":[225,314],"expression":[226],"dataset":[227],"non-small":[229],"cell":[230],"lung":[231],"cancer":[232],"combined":[234],"with":[235],"existing":[237],"relevant":[241],"signaling":[242],"pathways.":[243],"CONCLUSION:":[244],"extends":[252],"that":[262],"results":[263],"better":[265],"inference":[266],"proper":[268],"exists.":[271],"Moreover,":[272],"extension":[274],"mixtures":[281],"where":[282],"data":[283,297],"sets":[284],"both":[286],"unlabeled,":[289],"enables":[290],"superior":[291],"classifier":[292],"design":[293],"using":[294,307],"small,":[295],"unstructured":[296],"sets.":[298],"have":[300],"demonstrated":[301],"effectiveness":[303],"approach":[306],"regulating":[315],"functions;":[316],"however,":[317],"underlying":[319],"theory":[320],"applied":[323],"wide":[326],"variety":[327],"types,":[330],"applications":[333],"there":[335],"samples.":[338]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
