{"id":"https://openalex.org/W2772469707","doi":"https://doi.org/10.4018/ijcini.2017100103","title":"NBPMF","display_name":"NBPMF","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772469707","doi":"https://doi.org/10.4018/ijcini.2017100103","mag":"2772469707"},"language":"en","primary_location":{"id":"doi:10.4018/ijcini.2017100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcini.2017100103","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cognitive Informatics and Natural Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038697819","display_name":"Zhewei Liang","orcid":"https://orcid.org/0000-0002-4224-0497"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhewei Liang","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036077184","display_name":"Gilles Lajoie","orcid":"https://orcid.org/0000-0002-3989-5134"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gilles Lajoie","raw_affiliation_strings":["Department of Biochemistry, University of Western Ontario, London, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biochemistry, University of Western Ontario, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081729547","display_name":"Kaizhong Zhang","orcid":"https://orcid.org/0000-0003-1734-5921"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kaizhong Zhang","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":0.1427,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49571984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"4","first_page":"41","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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":0.9988999962806702,"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":0.8052554130554199},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6059889793395996},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5410585999488831},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49230659008026123},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43671682476997375},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.4318162798881531},{"id":"https://openalex.org/keywords/probability-mass-function","display_name":"Probability mass function","score":0.4229170083999634},{"id":"https://openalex.org/keywords/mass-spectrometry","display_name":"Mass spectrometry","score":0.41491714119911194},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3999093770980835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32326725125312805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2941749691963196},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.24066880345344543},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17337879538536072},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12605977058410645},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12364479899406433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10548797249794006},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10456609725952148}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052554130554199},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6059889793395996},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5410585999488831},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49230659008026123},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43671682476997375},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.4318162798881531},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.4229170083999634},{"id":"https://openalex.org/C162356407","wikidata":"https://www.wikidata.org/wiki/Q180809","display_name":"Mass spectrometry","level":2,"score":0.41491714119911194},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3999093770980835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32326725125312805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2941749691963196},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.24066880345344543},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17337879538536072},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12605977058410645},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12364479899406433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10548797249794006},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10456609725952148},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijcini.2017100103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcini.2017100103","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cognitive Informatics and Natural Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jcini0:v:11:y:2017:i:4:p:41-65","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.2017100103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1418224","https://openalex.org/W1525575010","https://openalex.org/W1893639437","https://openalex.org/W1964443249","https://openalex.org/W1971887998","https://openalex.org/W1981593008","https://openalex.org/W1985560593","https://openalex.org/W1986893074","https://openalex.org/W2014186056","https://openalex.org/W2039578667","https://openalex.org/W2039737650","https://openalex.org/W2053827324","https://openalex.org/W2055063265","https://openalex.org/W2056467018","https://openalex.org/W2058135122","https://openalex.org/W2072485567","https://openalex.org/W2078594804","https://openalex.org/W2078945167","https://openalex.org/W2084151531","https://openalex.org/W2088546850","https://openalex.org/W2111094216","https://openalex.org/W2123296798","https://openalex.org/W2124114991","https://openalex.org/W2133258252","https://openalex.org/W2155443196","https://openalex.org/W4243440654"],"related_works":["https://openalex.org/W2953461625","https://openalex.org/W2567825307","https://openalex.org/W4295762832","https://openalex.org/W1592682627","https://openalex.org/W2945016732","https://openalex.org/W2785998768","https://openalex.org/W2371352078","https://openalex.org/W2362975861","https://openalex.org/W2054458431","https://openalex.org/W2804963084"],"abstract_inverted_index":{"Mass":[0],"spectrometry":[1],"(MS)":[2],"is":[3,21,64],"an":[4,67],"analytical":[5],"technique":[6],"for":[7],"determining":[8],"the":[9,33,60,72,90,95,103,111,133],"composition":[10],"of":[11,97,105],"a":[12,36,117],"sample.":[13],"In":[14,30,99,114],"bottom-up":[15],"techniques,":[16],"peptide":[17,51,125],"mass":[18],"fingerprinting":[19],"(PMF)":[20],"widely":[22],"used":[23],"to":[24,88,94,108,123,128,136,155,160],"identify":[25],"proteins":[26],"from":[27],"MS":[28],"dataset.":[29],"this":[31],"article,":[32],"authors":[34,83,134],"developed":[35],"novel":[37],"network-based":[38],"inference":[39],"software":[40],"termed":[41],"NBPMF.":[42],"By":[43],"analyzing":[44],"peptide-protein":[45],"bipartite":[46],"network,":[47],"they":[48,101],"designed":[49],"new":[50],"protein":[52],"matching":[53,91],"score":[54,92,112],"functions.":[55],"They":[56],"present":[57],"two":[58],"methods:":[59],"static":[61],"one,":[62,74],"ProbS,":[63],"based":[65],"on":[66,144],"independent":[68],"probability":[69],"framework;":[70],"and":[71,146],"dynamic":[73],"HeatS,":[75],"depicts":[76],"input":[77],"data":[78,148],"as":[79],"dependent":[80],"peptides.":[81],"The":[82,142],"also":[84],"use":[85],"linear":[86],"regression":[87],"adjust":[89],"according":[93],"masses":[96],"proteins.":[98,141],"addition,":[100],"consider":[102],"order":[104,127],"retention":[106],"time":[107],"further":[109],"correct":[110],"function.":[113],"post":[115],"processing,":[116],"peak":[118],"can":[119],"only":[120],"be":[121],"assigned":[122],"one":[124],"in":[126],"reduce":[129],"random":[130],"matches.":[131],"Finally,":[132],"try":[135],"filter":[137],"out":[138],"false":[139],"positive":[140],"experiments":[143],"simulated":[145],"real":[147],"demonstrate":[149],"that":[150],"their":[151],"NBPMF":[152],"approaches":[153],"lead":[154],"significantly":[156],"improved":[157],"performance":[158],"compared":[159],"several":[161],"state-of-the-art":[162],"methods.":[163]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2017-12-22T00:00:00"}