{"id":"https://openalex.org/W2963433039","doi":"https://doi.org/10.1093/bioinformatics/bty1005","title":"Accurate and efficient estimation of small<i>P</i>-values with the cross-entropy method: applications in genomic data analysis","display_name":"Accurate and efficient estimation of small<i>P</i>-values with the cross-entropy method: applications in genomic data analysis","publication_year":2018,"publication_date":"2018-12-05","ids":{"openalex":"https://openalex.org/W2963433039","doi":"https://doi.org/10.1093/bioinformatics/bty1005","mag":"2963433039","pmid":"https://pubmed.ncbi.nlm.nih.gov/30521030"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bty1005","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty1005","pdf_url":null,"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":null,"license_id":null,"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":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6612894","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101751838","display_name":"Yang Shi","orcid":"https://orcid.org/0000-0001-7046-2743"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I25041050","display_name":"Augusta University","ror":"https://ror.org/012mef835","country_code":"US","type":"education","lineage":["https://openalex.org/I25041050"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210141130","display_name":"New Mexico Cancer Center","ror":"https://ror.org/03emyr182","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210141130"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yang Shi","raw_affiliation_strings":["Biostatistics Shared Resource, University of New Mexico Comprehensive Cancer Center and Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA","Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA","Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China","Division of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biostatistics Shared Resource, University of New Mexico Comprehensive Cancer Center and Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA","institution_ids":["https://openalex.org/I169521973","https://openalex.org/I4210141130"]},{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Division of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia, USA","institution_ids":["https://openalex.org/I25041050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048340377","display_name":"Mengqiao Wang","orcid":"https://orcid.org/0000-0002-3391-7507"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengqiao Wang","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078773079","display_name":"Weiping Shi","orcid":"https://orcid.org/0000-0001-9773-9255"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Shi","raw_affiliation_strings":["College of Mathematics, Jilin University, Changchun, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413485","display_name":"Ji\u2010Hyun Lee","orcid":"https://orcid.org/0000-0001-6420-5150"},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037"]},{"id":"https://openalex.org/I4390039331","display_name":"UF Health Cancer Center","ror":"https://ror.org/044vhe029","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I2800717037","https://openalex.org/I4390039331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ji-Hyun Lee","raw_affiliation_strings":["Division of Quantitative Sciences, University of Florida Health Cancer Center and Department of Biostatistics, University of Florida, Gainesville, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Quantitative Sciences, University of Florida Health Cancer Center and Department of Biostatistics, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I2800717037","https://openalex.org/I4390039331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037432090","display_name":"Huining Kang","orcid":"https://orcid.org/0000-0002-4415-3573"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]},{"id":"https://openalex.org/I4210141130","display_name":"New Mexico Cancer Center","ror":"https://ror.org/03emyr182","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210141130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huining Kang","raw_affiliation_strings":["Biostatistics Shared Resource, University of New Mexico Comprehensive Cancer Center and Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biostatistics Shared Resource, University of New Mexico Comprehensive Cancer Center and Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA","institution_ids":["https://openalex.org/I169521973","https://openalex.org/I4210141130"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779276","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0003-2718-9811"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210148697","display_name":"Institute of Bioinformatics","ror":"https://ror.org/04hqfvm50","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210148697"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Hui Jiang","raw_affiliation_strings":["Center for Computational Medicine and Bioinformatics","Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA","University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Computational Medicine and Bioinformatics","institution_ids":["https://openalex.org/I4210148697"]},{"raw_affiliation_string":"Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101751838"],"corresponding_institution_ids":["https://openalex.org/I169521973","https://openalex.org/I24185976","https://openalex.org/I25041050","https://openalex.org/I27837315","https://openalex.org/I4210141130"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":0.9614,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78715238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":"14","first_page":"2441","last_page":"2448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.6000999808311462,"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"}},"topics":[{"id":"https://openalex.org/T10261","display_name":"Genetic Associations and Epidemiology","score":0.6000999808311462,"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"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.0632999986410141,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.03889999911189079,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829856038093567},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5961849689483643},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5279675722122192},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5090017318725586},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4869195222854614},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.48114144802093506},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4657588303089142},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4297560751438141},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40130555629730225},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34217238426208496},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.27659112215042114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2552805542945862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2513706684112549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20150291919708252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829856038093567},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5961849689483643},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5279675722122192},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5090017318725586},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4869195222854614},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.48114144802093506},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4657588303089142},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4297560751438141},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40130555629730225},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34217238426208496},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.27659112215042114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2552805542945862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2513706684112549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20150291919708252},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000078332","descriptor_name":"Data Analysis","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":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":"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":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","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},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/bty1005","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty1005","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:30521030","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30521030","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:pubmedcentral.nih.gov:6612894","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6612894","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6612894","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6612894","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1840279624","display_name":null,"funder_award_id":"20822041A4202","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2249914035","display_name":null,"funder_award_id":"P30 CA046592","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G2621427501","display_name":null,"funder_award_id":"5P30CA118100","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2980331707","display_name":null,"funder_award_id":"20822041B4009","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4765284682","display_name":null,"funder_award_id":"P30CA046592","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G627511678","display_name":null,"funder_award_id":"J1310022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7154160630","display_name":null,"funder_award_id":"P30 CA118100","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W5385147","https://openalex.org/W1502364872","https://openalex.org/W1870078168","https://openalex.org/W1972655542","https://openalex.org/W1995017987","https://openalex.org/W1995278651","https://openalex.org/W2015927259","https://openalex.org/W2016886155","https://openalex.org/W2031408476","https://openalex.org/W2055705596","https://openalex.org/W2078923597","https://openalex.org/W2085893390","https://openalex.org/W2094542095","https://openalex.org/W2098762353","https://openalex.org/W2103017472","https://openalex.org/W2110065044","https://openalex.org/W2114104545","https://openalex.org/W2118069309","https://openalex.org/W2125495986","https://openalex.org/W2134783591","https://openalex.org/W2136582936","https://openalex.org/W2137576513","https://openalex.org/W2157795344","https://openalex.org/W2162683818","https://openalex.org/W2163953557","https://openalex.org/W2182075968","https://openalex.org/W2195049161","https://openalex.org/W2267047343","https://openalex.org/W2290804602","https://openalex.org/W2300795841","https://openalex.org/W2380800094","https://openalex.org/W2604808360","https://openalex.org/W2963730944","https://openalex.org/W3099338525","https://openalex.org/W3123542318","https://openalex.org/W4232468166","https://openalex.org/W4253187718","https://openalex.org/W4294107304","https://openalex.org/W6639293313","https://openalex.org/W6680409316","https://openalex.org/W6685730775","https://openalex.org/W6693650362","https://openalex.org/W6698032535"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W3093571331","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4386762140"],"abstract_inverted_index":{"MOTIVATION:":[0],"Small":[1],"P-values":[2,53,73,132],"are":[3,41,173,181],"often":[4],"required":[5],"to":[6,55,112,129,135],"be":[7],"accurately":[8,68,126],"estimated":[9],"in":[10,116,157],"large-scale":[11],"genomic":[12,25,117,158],"studies":[13],"for":[14,67,74,142,165],"the":[15,22,84,87,100,103,143,151,167,171],"adjustment":[16],"of":[17,24,57,78,86,102,145,153],"multiple":[18],"hypothesis":[19],"tests":[20],"and":[21,69,90,108,150,169],"ranking":[23],"features":[26],"based":[27,82],"on":[28,83],"their":[29],"statistical":[30],"significance.":[31],"For":[32],"those":[33],"complicated":[34,79],"test":[35,80,148,155],"statistics":[36,81],"whose":[37],"cumulative":[38],"distribution":[39],"functions":[40],"analytically":[42],"intractable,":[43],"existing":[44,147],"methods":[45],"usually":[46],"do":[47],"not":[48],"work":[49],"well":[50],"with":[51],"small":[52,72,128,131],"due":[54],"lack":[56],"accuracy":[58],"or":[59],"computational":[60],"restrictions.":[61],"We":[62,98],"propose":[63],"a":[64,75],"general":[65],"approach":[66,124],"efficiently":[70],"estimating":[71],"broad":[76],"range":[77],"principle":[85],"cross-entropy":[88],"method":[89],"Markov":[91],"chain":[92],"Monte":[93],"Carlo":[94],"sampling":[95],"techniques.":[96],"RESULTS:":[97],"evaluate":[99,127],"performance":[101],"proposed":[104,138],"algorithm":[105,139,168],"through":[106],"simulations":[107],"demonstrate":[109],"its":[110],"application":[111],"three":[113],"real-world":[114],"examples":[115],"studies.":[118,159],"The":[119,137],"results":[120,172],"show":[121],"that":[122],"our":[123],"can":[125],"extremely":[130],"(e.g.":[133],"10-6":[134],"10-100).":[136],"is":[140],"helpful":[141],"improvement":[144],"some":[146],"procedures":[149,156],"development":[152],"new":[154],"AVAILABILITY":[160],"AND":[161],"IMPLEMENTATION:":[162],"R":[163],"programs":[164],"implementing":[166],"reproducing":[170],"available":[174,182],"at:":[175],"https://github.com/shilab2017/MCMC-CE-codes.":[176],"SUPPLEMENTARY":[177],"INFORMATION:":[178],"Supplementary":[179],"data":[180],"at":[183],"Bioinformatics":[184],"online.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2019-07-30T00:00:00"}
