{"id":"https://openalex.org/W1964777107","doi":"https://doi.org/10.1186/1471-2105-12-346","title":"ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity","display_name":"ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity","publication_year":2011,"publication_date":"2011-08-17","ids":{"openalex":"https://openalex.org/W1964777107","doi":"https://doi.org/10.1186/1471-2105-12-346","mag":"1964777107","pmid":"https://pubmed.ncbi.nlm.nih.gov/21849060"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-12-346","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-346","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-346","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023271890","display_name":"Shenghui Zhang","orcid":"https://orcid.org/0000-0002-9796-0184"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghui Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846084","display_name":"Yaojun Wang","orcid":"https://orcid.org/0000-0002-6183-6587"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaojun Wang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076729236","display_name":"Dongbo Bu","orcid":"https://orcid.org/0000-0003-4119-4238"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbo Bu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430368","display_name":"Hong Zhang","orcid":"https://orcid.org/0009-0008-6908-9425"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","Zhejiang GongShang University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Zhejiang GongShang University, Zhejiang, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108903761","display_name":"Shiwei Sun","orcid":"https://orcid.org/0000-0002-0351-3720"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Sun","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Institute Of Computing Technology, Chinese Academy of Sciences, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.06108958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"12","issue":"1","first_page":"346","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.28200000524520874,"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.28200000524520874,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.13330000638961792,"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/T12166","display_name":"Ion-surface interactions and analysis","score":0.10090000182390213,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6032223701477051},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5829830765724182},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5473355054855347},{"id":"https://openalex.org/keywords/statistical-noise","display_name":"Statistical noise","score":0.5061919093132019},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4977996349334717},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.48822763562202454},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.4679630696773529},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.44387513399124146},{"id":"https://openalex.org/keywords/tandem","display_name":"Tandem","score":0.4366436302661896},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4203653335571289},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.39732009172439575},{"id":"https://openalex.org/keywords/analytical-chemistry","display_name":"Analytical Chemistry (journal)","score":0.3785659074783325},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.32823628187179565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3027764856815338},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28909701108932495},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.21793362498283386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21302029490470886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17744794487953186},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1374334692955017},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.11002814769744873},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09796029329299927}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6032223701477051},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5829830765724182},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5473355054855347},{"id":"https://openalex.org/C128197687","wikidata":"https://www.wikidata.org/wiki/Q5477515","display_name":"Statistical noise","level":2,"score":0.5061919093132019},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4977996349334717},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.48822763562202454},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.4679630696773529},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.44387513399124146},{"id":"https://openalex.org/C2777814067","wikidata":"https://www.wikidata.org/wiki/Q1752317","display_name":"Tandem","level":2,"score":0.4366436302661896},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4203653335571289},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.39732009172439575},{"id":"https://openalex.org/C113196181","wikidata":"https://www.wikidata.org/wiki/Q485223","display_name":"Analytical Chemistry (journal)","level":2,"score":0.3785659074783325},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.32823628187179565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3027764856815338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28909701108932495},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.21793362498283386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21302029490470886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17744794487953186},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1374334692955017},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.11002814769744873},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09796029329299927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[{"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":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":null,"qualifier_name":null,"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":"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":"D014357","descriptor_name":"Trypsin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D014357","descriptor_name":"Trypsin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D014357","descriptor_name":"Trypsin","qualifier_ui":"Q000737","qualifier_name":"chemistry","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":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-12-346","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-346","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-346","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:21849060","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21849060","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:e6abc25bdf0b4855b780e6c6afb18fdc","is_oa":true,"landing_page_url":"https://doaj.org/article/e6abc25bdf0b4855b780e6c6afb18fdc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 12, Iss 1, p 346 (2011)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:2183663","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3179969","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-12-346","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-346","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-346","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1964777107.pdf","grobid_xml":"https://content.openalex.org/works/W1964777107.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1543113652","https://openalex.org/W1966557933","https://openalex.org/W1970917421","https://openalex.org/W1971378925","https://openalex.org/W1971887998","https://openalex.org/W1975450451","https://openalex.org/W1980366102","https://openalex.org/W1981593008","https://openalex.org/W1987325064","https://openalex.org/W1995693931","https://openalex.org/W1996792890","https://openalex.org/W1997839167","https://openalex.org/W2001848433","https://openalex.org/W2003111732","https://openalex.org/W2008317045","https://openalex.org/W2016846179","https://openalex.org/W2023096047","https://openalex.org/W2024307631","https://openalex.org/W2035283832","https://openalex.org/W2038615001","https://openalex.org/W2043285998","https://openalex.org/W2045985536","https://openalex.org/W2050381009","https://openalex.org/W2051367768","https://openalex.org/W2056060596","https://openalex.org/W2056799410","https://openalex.org/W2058135122","https://openalex.org/W2059572899","https://openalex.org/W2064023506","https://openalex.org/W2073401456","https://openalex.org/W2075977822","https://openalex.org/W2077137713","https://openalex.org/W2082574138","https://openalex.org/W2083911564","https://openalex.org/W2093620473","https://openalex.org/W2095650214","https://openalex.org/W2102412629","https://openalex.org/W2105556779","https://openalex.org/W2105855621","https://openalex.org/W2130706354","https://openalex.org/W2150746288","https://openalex.org/W2170292983","https://openalex.org/W2614250333","https://openalex.org/W3136323740"],"related_works":["https://openalex.org/W2023186083","https://openalex.org/W4323262585","https://openalex.org/W4211086969","https://openalex.org/W2890607860","https://openalex.org/W4380869615","https://openalex.org/W2798825245","https://openalex.org/W2476689833","https://openalex.org/W2519652201","https://openalex.org/W2025127327","https://openalex.org/W2154144052"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1],"analysis":[2],"of":[3,10,19,78,85,127,184,249,257,275],"mass":[4,27],"spectra":[5],"suggests":[6],"that":[7,42,95,164,221,244],"the":[8,17,20,73,76,79,83,86,125,128,133,147,165,171,182,247,255,273,276],"existence":[9,77,131],"derivative":[11,56,80,129],"peaks":[12,81,192],"is":[13,29,39,53,104],"strongly":[14],"dependent":[15],"on":[16,132,208],"intensity":[18,51,84],"primary":[21,45,87,134],"peaks.":[22,37,66,88],"Peak":[23],"selection":[24,71,93,173,211,251],"from":[25],"tandem":[26],"spectrum":[28],"used":[30],"to":[31,48,106,111,122,145],"filter":[32],"out":[33,190],"noise":[34,191],"and":[35,52,64,82,109,153,193,261,271],"contaminant":[36],"It":[38],"widely":[40],"accepted":[41],"a":[43,119,140,150,155,203,216],"valid":[44],"peak":[46,70,92,159,172,210,250],"tends":[47],"have":[49,242],"high":[50],"accompanied":[54],"by":[55],"peaks,":[57,60,63],"including":[58],"isotopic":[59],"neutral":[61],"loss":[62],"complementary":[65],"Existing":[67],"models":[68,90],"for":[69,91,158],"ignore":[72],"dependence":[74,126,148],"between":[75],"Simple":[89],"assume":[94],"these":[96],"two":[97],"attributes":[98],"are":[99],"independent;":[100],"however,":[101],"this":[102,115],"assumption":[103],"contrary":[105],"real":[107],"data":[108,218],"prone":[110],"error.":[112],"RESULTS:":[113],"In":[114,199],"paper,":[116],"we":[117,138,180,201],"present":[118,202],"statistical":[120,141,156],"model":[121,157,266],"quantitatively":[123],"measure":[124],"peak's":[130,135],"intensity.":[136],"Here,":[137],"propose":[139],"model,":[142],"named":[143],"ProbPS,":[144],"capture":[146],"in":[149,187,194,229,237],"quantitative":[151,166],"manner":[152],"describe":[154],"selection.":[160],"Our":[161,213],"results":[162],"show":[163],"understanding":[167],"can":[168],"successfully":[169],"guide":[170],"process.":[174],"By":[175],"comparing":[176],"ProbPS":[177,245],"with":[178],"AuDeNS":[179],"demonstrate":[181],"advantages":[183],"our":[185,209,222,265],"method":[186,225],"both":[188],"filtering":[189],"improving":[195,272],"de":[196,258],"novo":[197,259],"identification.":[198,263],"addition,":[200],"tag":[204,223,262],"identification":[205,224],"approach":[206],"based":[207],"method.":[212],"results,":[214],"using":[215],"test":[217],"set,":[219],"suggest":[220],"(876":[226],"correct":[227,235],"tags":[228,236],"1000":[230,238],"spectra)":[231],"outperforms":[232],"PepNovoTag":[233],"(790":[234],"spectra).":[239],"CONCLUSIONS:":[240],"We":[241],"shown":[243],"improves":[246],"accuracy":[248,274],"which":[252],"further":[253],"enhances":[254],"performance":[256],"sequencing":[260],"Thus,":[264],"saves":[267],"valuable":[268],"computation":[269],"time":[270],"results.":[277]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}