{"id":"https://openalex.org/W2005442536","doi":"https://doi.org/10.1186/1471-2105-11-591","title":"An improved machine learning protocol for the identification of correct Sequest search results","display_name":"An improved machine learning protocol for the identification of correct Sequest search results","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2005442536","doi":"https://doi.org/10.1186/1471-2105-11-591","mag":"2005442536","pmid":"https://pubmed.ncbi.nlm.nih.gov/21138573"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-11-591","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-591","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-591","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/10.1186/1471-2105-11-591","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018076189","display_name":"Morten K\u00e4llberg","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Morten K\u00e4llberg","raw_affiliation_strings":["Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA","Department of Bioengineering University of Illinois at Chicago Chicago USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Department of Bioengineering University of Illinois at Chicago Chicago USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716955","display_name":"Hui L\u00fc","orcid":"https://orcid.org/0000-0001-8347-0830"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Hui Lu","raw_affiliation_strings":["Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA","Key Lab of Embryo Molecular Biology, Ministry of Health, China & Shanghai Lab of Embryo and Reproduction Engineering, Shanghai, PR China","Shanghai Institute of Medical Genetics, Shanghai Children's Hospital, Shanghai, PR China","Department of Bioengineering, University of Illinois at Chicago, Chicago, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"Key Lab of Embryo Molecular Biology, Ministry of Health, China & Shanghai Lab of Embryo and Reproduction Engineering, Shanghai, PR China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Shanghai Institute of Medical Genetics, Shanghai Children's Hospital, Shanghai, PR China","institution_ids":["https://openalex.org/I1288882113"]},{"raw_affiliation_string":"Department of Bioengineering, University of Illinois at Chicago, Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100716955"],"corresponding_institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I1327237609","https://openalex.org/I39422238"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.4479,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59423347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":"1","first_page":"591","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9814000129699707,"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":0.9814000129699707,"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.012799999676644802,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.0017000000225380063,"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":0.799281120300293},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.643268883228302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.621330201625824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5830004811286926},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5675483345985413},{"id":"https://openalex.org/keywords/database-search-engine","display_name":"Database search engine","score":0.5035056471824646},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49672871828079224},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49571430683135986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47732239961624146},{"id":"https://openalex.org/keywords/rule-of-thumb","display_name":"Rule of thumb","score":0.4213997721672058},{"id":"https://openalex.org/keywords/mascot","display_name":"Mascot","score":0.4147488474845886},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.24323496222496033},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15612536668777466},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.13162794709205627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799281120300293},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.643268883228302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.621330201625824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5830004811286926},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5675483345985413},{"id":"https://openalex.org/C48000682","wikidata":"https://www.wikidata.org/wiki/Q5227411","display_name":"Database search engine","level":3,"score":0.5035056471824646},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49672871828079224},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49571430683135986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47732239961624146},{"id":"https://openalex.org/C89246107","wikidata":"https://www.wikidata.org/wiki/Q1398821","display_name":"Rule of thumb","level":2,"score":0.4213997721672058},{"id":"https://openalex.org/C2778160393","wikidata":"https://www.wikidata.org/wiki/Q18670161","display_name":"Mascot","level":2,"score":0.4147488474845886},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.24323496222496033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15612536668777466},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.13162794709205627},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-11-591","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-591","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-591","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:21138573","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21138573","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:pubmedcentral.nih.gov:3013103","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3013103","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:5008c94310314861821e1c95717bcbd3","is_oa":false,"landing_page_url":"https://doaj.org/article/5008c94310314861821e1c95717bcbd3","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 11, Iss 1, p 591 (2010)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/10959077","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/An_improved_machine_learning_protocol_for_the_identification_of_correct_Sequest_search_results/10959077","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"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"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-11-591","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-591","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-591","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332222","display_name":"University of Illinois at Urbana-Champaign","ror":"https://ror.org/047426m28"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2005442536.pdf","grobid_xml":"https://content.openalex.org/works/W2005442536.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1597678601","https://openalex.org/W1598458252","https://openalex.org/W1605694984","https://openalex.org/W1881647329","https://openalex.org/W1967805615","https://openalex.org/W1968868346","https://openalex.org/W1976526581","https://openalex.org/W1978576205","https://openalex.org/W1981593008","https://openalex.org/W1988667155","https://openalex.org/W1989317755","https://openalex.org/W1996600592","https://openalex.org/W2007796522","https://openalex.org/W2008669517","https://openalex.org/W2015556811","https://openalex.org/W2018413616","https://openalex.org/W2023096047","https://openalex.org/W2024046085","https://openalex.org/W2026465178","https://openalex.org/W2027364181","https://openalex.org/W2028931227","https://openalex.org/W2037036397","https://openalex.org/W2071721213","https://openalex.org/W2084619201","https://openalex.org/W2088899342","https://openalex.org/W2091375086","https://openalex.org/W2096223584","https://openalex.org/W2101128616","https://openalex.org/W2101521159","https://openalex.org/W2104707079","https://openalex.org/W2108880293","https://openalex.org/W2112076978","https://openalex.org/W2112078820","https://openalex.org/W2112143438","https://openalex.org/W2118103468","https://openalex.org/W2126523734","https://openalex.org/W2129265015","https://openalex.org/W2130706354","https://openalex.org/W2132899146","https://openalex.org/W2135337307","https://openalex.org/W2135427956","https://openalex.org/W2145361425","https://openalex.org/W2149706766","https://openalex.org/W2480069414","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W3204641204","https://openalex.org/W1470425429","https://openalex.org/W4283016678","https://openalex.org/W4249746146","https://openalex.org/W4318350883","https://openalex.org/W4205958290","https://openalex.org/W3200719183","https://openalex.org/W4328134586","https://openalex.org/W4306321456","https://openalex.org/W4200196661"],"abstract_inverted_index":{"BACKGROUND:":[0],"Mass":[1],"spectrometry":[2,27],"has":[3],"become":[4],"a":[5,49,129,146,159],"standard":[6],"method":[7,130],"by":[8,82,86,172],"which":[9,200],"the":[10,55,87,90,97,113,133,143,156,174,192,208,221],"proteomic":[11],"profile":[12],"of":[13,24,57,107,142,145,158,220,226],"cell":[14],"or":[15],"tissue":[16],"samples":[17],"is":[18,149,188],"characterized.":[19],"To":[20],"fully":[21],"take":[22,224],"advantage":[23,225],"tandem":[25],"mass":[26],"(MS/MS)":[28],"techniques":[29],"in":[30,182],"large":[31],"scale":[32],"protein":[33,148,193],"characterization":[34],"studies":[35],"robust":[36],"and":[37,151,187],"consistent":[38],"data":[39],"analysis":[40],"procedures":[41,81],"are":[42],"crucial.":[43],"In":[44],"this":[45],"work":[46],"we":[47,94],"present":[48],"machine":[50,78,119],"learning":[51,79,120],"based":[52],"protocol":[53,137],"for":[54,123,131,164,217],"identification":[56,136,194],"correct":[58,184],"peptide-spectrum":[59,185],"matches":[60,186],"from":[61,168,228],"Sequest":[62,165],"database":[63],"search":[64,166],"results,":[65],"improving":[66],"on":[67,76],"previously":[68],"published":[69,77],"protocols.":[70],"RESULTS:":[71],"The":[72,177,196],"developed":[73,98,134,178],"model":[74,99,163,179,222],"improves":[75],"classification":[80,162,209],"6%":[83],"as":[84,103],"measured":[85],"area":[88],"under":[89],"ROC":[91],"curve.":[92],"Further,":[93],"show":[95],"how":[96],"can":[100,204],"be":[101,205],"presented":[102],"an":[104],"interpretable":[105],"tree":[106],"additive":[108],"rules,":[109],"thereby":[110],"effectively":[111],"removing":[112],"'black-box'":[114],"notion":[115],"often":[116],"associated":[117],"with":[118,125,199],"classifiers,":[121],"allowing":[122],"comparison":[124],"expert":[126],"rule-of-thumb.":[127],"Finally,":[128],"extending":[132],"peptide":[135],"to":[138,191,211,223],"give":[139,212],"probabilistic":[140],"estimates":[141],"presence":[144],"given":[147],"proposed":[150],"tested.":[152],"CONCLUSIONS:":[153],"We":[154],"demonstrate":[155],"construction":[157],"high":[160],"accuracy":[161],"results":[167],"MS/MS":[169],"spectra":[170],"obtained":[171],"using":[173],"MALDI":[175],"ionization.":[176],"performs":[180],"well":[181],"identifying":[183],"easily":[189],"extendable":[190],"problem.":[195],"relative":[197],"ease":[198],"additional":[201,213],"experimental":[202],"parameters":[203],"incorporated":[206],"into":[207],"framework,":[210],"discriminatory":[214],"power,":[215],"allows":[216],"future":[218],"tailoring":[219],"information":[227],"specific":[229],"instrument":[230],"set-ups.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
