{"id":"https://openalex.org/W1993404029","doi":"https://doi.org/10.1186/1471-2105-13-137","title":"A Bayesian model for classifying all differentially expressed proteins simultaneously in 2D PAGE gels","display_name":"A Bayesian model for classifying all differentially expressed proteins simultaneously in 2D PAGE gels","publication_year":2012,"publication_date":"2012-06-19","ids":{"openalex":"https://openalex.org/W1993404029","doi":"https://doi.org/10.1186/1471-2105-13-137","mag":"1993404029","pmid":"https://pubmed.ncbi.nlm.nih.gov/22712439"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-13-137","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-137","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-137","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/10.1186/1471-2105-13-137","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025044285","display_name":"Steven Wu","orcid":"https://orcid.org/0000-0002-7685-8009"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["NZ","US"],"is_corresponding":true,"raw_author_name":"Steven H Wu","raw_affiliation_strings":["Bioinformatics Institute, University of Auckland, Private Bag, 92019, Auckland, New Zealand. steven.wu@duke.edu","Biology Department, Duke University, Durham, USA","School of Biological Sciences, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Institute, University of Auckland, Private Bag, 92019, Auckland, New Zealand. steven.wu@duke.edu","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"Biology Department, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"School of Biological Sciences, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063087649","display_name":"Michael A. Black","orcid":"https://orcid.org/0000-0003-1174-6054"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Michael A Black","raw_affiliation_strings":["Department of Biochemistry, University of Otago, P. O. Box 56, Dunedin, New Zealand","Department of Biochemistry, University of Otago, Dunedin, New Zealand;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biochemistry, University of Otago, P. O. Box 56, Dunedin, New Zealand","institution_ids":["https://openalex.org/I80281795"]},{"raw_affiliation_string":"Department of Biochemistry, University of Otago, Dunedin, New Zealand;","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109283383","display_name":"Robyn A. North","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robyn A North","raw_affiliation_strings":["Women's Health Academic Centre, King\u2019s College London, London, UK","Women's Health  Academic Centre; King's College London; London UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Women's Health Academic Centre, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]},{"raw_affiliation_string":"Women's Health  Academic Centre; King's College London; London UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015045944","display_name":"Allen G. Rodrigo","orcid":"https://orcid.org/0000-0002-8327-7317"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I6002401","display_name":"National Evolutionary Synthesis Center","ror":"https://ror.org/001ykb961","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I6002401"]}],"countries":["NZ","US"],"is_corresponding":false,"raw_author_name":"Allen G Rodrigo","raw_affiliation_strings":["Bioinformatics Institute, University of Auckland, Private Bag, 92019, Auckland, New Zealand","School of Biological Sciences, University of Auckland, Private Bag, 92019, Auckland, New Zealand","The National Evolutionary Synthesis Center, Durham, NC, 27705, USA","School of Biological Sciences, University of Auckland, Auckland, New Zealand","The National Evolutionary Synthesis Center, Durham, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Institute, University of Auckland, Private Bag, 92019, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"School of Biological Sciences, University of Auckland, Private Bag, 92019, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"The National Evolutionary Synthesis Center, Durham, NC, 27705, USA","institution_ids":["https://openalex.org/I6002401"]},{"raw_affiliation_string":"School of Biological Sciences, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"The National Evolutionary Synthesis Center, Durham, USA","institution_ids":["https://openalex.org/I6002401"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025044285"],"corresponding_institution_ids":["https://openalex.org/I154130895","https://openalex.org/I170897317"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.1457,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45578613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":"1","first_page":"137","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.8780999779701233,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.8780999779701233,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.02669999934732914,"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":0.010099999606609344,"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/univariate","display_name":"Univariate","score":0.8223050832748413},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6433249115943909},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6252468228340149},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.598434329032898},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.46001550555229187},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.43522369861602783},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4313930571079254},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4288060665130615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38177403807640076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3673345446586609},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.36333179473876953},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33900055289268494},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2991485595703125}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.8223050832748413},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6433249115943909},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6252468228340149},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.598434329032898},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.46001550555229187},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.43522369861602783},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4313930571079254},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4288060665130615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38177403807640076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3673345446586609},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.36333179473876953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33900055289268494},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2991485595703125},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"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":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","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":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014176","descriptor_name":"Protein Biosynthesis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014176","descriptor_name":"Protein Biosynthesis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014176","descriptor_name":"Protein Biosynthesis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015180","descriptor_name":"Electrophoresis, Gel, Two-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D015180","descriptor_name":"Electrophoresis, Gel, Two-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D015180","descriptor_name":"Electrophoresis, Gel, Two-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-13-137","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-137","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-137","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:22712439","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22712439","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:3505467","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3505467","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:doaj.org/article:59489d7d434f4835866eddda116e517d","is_oa":false,"landing_page_url":"https://doaj.org/article/59489d7d434f4835866eddda116e517d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 13, Iss 1, p 137 (2012)","raw_type":"article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/153026","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/153026","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Journal article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-13-137","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-13-137","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-13-137","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":[{"id":"https://metadata.un.org/sdg/17","score":0.49000000953674316,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320801","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1993404029.pdf","grobid_xml":"https://content.openalex.org/works/W1993404029.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1536497620","https://openalex.org/W1606423922","https://openalex.org/W1965806060","https://openalex.org/W1977344799","https://openalex.org/W1987531919","https://openalex.org/W1989160450","https://openalex.org/W1998861529","https://openalex.org/W2008703230","https://openalex.org/W2023990002","https://openalex.org/W2030911724","https://openalex.org/W2039438504","https://openalex.org/W2056760934","https://openalex.org/W2060372462","https://openalex.org/W2091276705","https://openalex.org/W2101517901","https://openalex.org/W2104232463","https://openalex.org/W2113999048","https://openalex.org/W2117443107","https://openalex.org/W2138309709","https://openalex.org/W2147507661","https://openalex.org/W2148071000","https://openalex.org/W2155275310","https://openalex.org/W2161444534","https://openalex.org/W2575747793"],"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/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290","https://openalex.org/W3159134156"],"abstract_inverted_index":{"BACKGROUND:":[0],"Two-dimensional":[1],"polyacrylamide":[2],"gel":[3],"electrophoresis":[4],"(2D":[5],"PAGE)":[6],"is":[7,121,132,239,281,287],"commonly":[8,61],"used":[9,34,62,145,208],"to":[10,35,51,60,146,163,169,209,218,241],"identify":[11,36,249],"differentially":[12,125,251,274],"expressed":[13,126,252,275],"proteins":[14,127,253],"under":[15],"two":[16,71],"or":[17,20,87],"more":[18,171,250],"experimental":[19],"observational":[21],"conditions.":[22],"Wu":[23],"et":[24],"al":[25],"(2009)":[26],"developed":[27],"a":[28,46,55,85,89,103,259,271],"univariate":[29,115,136],"probabilistic":[30],"model":[31,66,106,118,147,238],"which":[32,107],"was":[33],"differential":[37],"expression":[38,92,215,222],"between":[39,151],"Case":[40],"and":[41,248],"Control":[42],"groups,":[43],"by":[44,134,188],"applying":[45],"Likelihood":[47],"Ratio":[48],"Test":[49],"(LRT)":[50],"each":[52,130,167],"protein":[53,131,168,214,272],"on":[54],"2D":[56,78],"PAGE.":[57],"In":[58,178],"contrast":[59],"statistical":[63],"approaches,":[64],"this":[65],"takes":[67],"into":[68],"account":[69],"the":[70,82,96,109,114,117,135,148,152,175,182,203,227,236,244,255,266,277],"possible":[72],"causes":[73],"of":[74,84,91,98,174,181,229,258,268],"missing":[75],"values":[76],"in":[77,213,220,226],"PAGE:":[79],"either":[80],"(1)":[81],"non-expression":[83],"protein;":[86],"(2)":[88],"level":[90],"that":[93,235,265],"falls":[94],"below":[95],"limit":[97],"detection.":[99],"RESULTS:":[100],"We":[101],"develop":[102],"global":[104,142,159,237,246],"Bayesian":[105],"extends":[108],"previously":[110,139],"described":[111],"model.":[112],"Unlike":[113],"approach,":[116],"reported":[119],"here":[120],"able":[122,162,240],"treat":[123],"all":[124,184],"simultaneously.":[128],"Whereas":[129],"modelled":[133],"likelihood":[137],"function":[138],"described,":[140],"several":[141],"distributions":[143,160,206],"are":[144,161,186,207,216],"underlying":[149,245],"relationship":[150],"parameters":[153,185],"associated":[154],"with":[155],"individual":[156],"proteins.":[157],"These":[158],"combine":[164],"information":[165],"from":[166],"give":[170],"accurate":[172],"estimates":[173],"true":[176],"parameters.":[177],"our":[179],"implementation":[180],"procedure,":[183],"recovered":[187],"Markov":[189],"chain":[190],"Monte":[191],"Carlo":[192],"(MCMC)":[193],"integration.":[194],"The":[195,284],"95%":[196],"highest":[197],"posterior":[198,205],"density":[199],"(HPD)":[200],"intervals":[201],"for":[202],"marginal":[204],"determine":[210],"whether":[211],"differences":[212,219,225],"due":[217],"mean":[221],"intensities,":[223],"and/or":[224],"probabilities":[228],"expression.":[230],"CONCLUSIONS:":[231],"Simulation":[232],"analyses":[233],"showed":[234],"accurately":[242],"recover":[243],"distributions,":[247],"than":[254],"simple":[256],"application":[257],"LRT.":[260],"Additionally,":[261],"simulations":[262],"also":[263],"indicate":[264],"probability":[267],"incorrectly":[269],"identifying":[270],"as":[273],"(i.e.,":[276],"False":[278],"Discovery":[279],"Rate)":[280],"very":[282],"low.":[283],"source":[285],"code":[286],"available":[288],"at":[289],"https://github.com/stevenhwu/BIDE-2D.":[290]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}