{"id":"https://openalex.org/W2097502538","doi":"https://doi.org/10.1186/1471-2105-15-208","title":"Stronger findings from mass spectral data through multi-peak modeling","display_name":"Stronger findings from mass spectral data through multi-peak modeling","publication_year":2014,"publication_date":"2014-06-19","ids":{"openalex":"https://openalex.org/W2097502538","doi":"https://doi.org/10.1186/1471-2105-15-208","mag":"2097502538","pmid":"https://pubmed.ncbi.nlm.nih.gov/24947013"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-15-208","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-208","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-208","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/10.1186/1471-2105-15-208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011475028","display_name":"Tommi Suvitaival","orcid":"https://orcid.org/0000-0002-2583-4912"},"institutions":[{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tommi Suvitaival","raw_affiliation_strings":["Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, 00076, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, 00076, Espoo, Finland","institution_ids":["https://openalex.org/I32943570","https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060432668","display_name":"Simon Rogers","orcid":"https://orcid.org/0000-0003-3578-4477"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Rogers","raw_affiliation_strings":["School of Computing Science, University of Glasgow, G12 8QQ, Glasgow, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, G12 8QQ, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018305257","display_name":"Samuel Kaski","orcid":"https://orcid.org/0000-0003-1925-9154"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Samuel Kaski","raw_affiliation_strings":["Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, 00076 Espoo, Finland. samuel.kaski@aalto.fi","Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, 00076 Espoo, Finland. samuel.kaski@aalto.fi","institution_ids":["https://openalex.org/I32943570","https://openalex.org/I9927081"]},{"raw_affiliation_string":"Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052","https://openalex.org/I32943570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018305257"],"corresponding_institution_ids":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.5194,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64614275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":"1","first_page":"208","last_page":"208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9901000261306763,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"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/T12073","display_name":"Isotope Analysis in Ecology","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mass-spectrometry","display_name":"Mass spectrometry","score":0.7550896406173706},{"id":"https://openalex.org/keywords/metabolomics","display_name":"Metabolomics","score":0.6146876811981201},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5241001844406128},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5097593665122986},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.4703524112701416},{"id":"https://openalex.org/keywords/analytical-chemistry","display_name":"Analytical Chemistry (journal)","score":0.46987324953079224},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.4697848856449127},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4516151249408722},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.4351397752761841},{"id":"https://openalex.org/keywords/lipidomics","display_name":"Lipidomics","score":0.42031145095825195},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4165618419647217},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.38899582624435425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3697810173034668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32306116819381714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2266426980495453},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22295430302619934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20274394750595093},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08555403351783752}],"concepts":[{"id":"https://openalex.org/C162356407","wikidata":"https://www.wikidata.org/wiki/Q180809","display_name":"Mass spectrometry","level":2,"score":0.7550896406173706},{"id":"https://openalex.org/C21565614","wikidata":"https://www.wikidata.org/wiki/Q12149006","display_name":"Metabolomics","level":2,"score":0.6146876811981201},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5241001844406128},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5097593665122986},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4703524112701416},{"id":"https://openalex.org/C113196181","wikidata":"https://www.wikidata.org/wiki/Q485223","display_name":"Analytical Chemistry (journal)","level":2,"score":0.46987324953079224},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.4697848856449127},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4516151249408722},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.4351397752761841},{"id":"https://openalex.org/C58017582","wikidata":"https://www.wikidata.org/wiki/Q6556376","display_name":"Lipidomics","level":2,"score":0.42031145095825195},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4165618419647217},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.38899582624435425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3697810173034668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32306116819381714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2266426980495453},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22295430302619934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20274394750595093},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08555403351783752},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"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":"D008055","descriptor_name":"Lipids","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D008055","descriptor_name":"Lipids","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D008055","descriptor_name":"Lipids","qualifier_ui":"Q000032","qualifier_name":"analysis","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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055432","descriptor_name":"Metabolomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055432","descriptor_name":"Metabolomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055432","descriptor_name":"Metabolomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/1471-2105-15-208","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-208","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-208","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:24947013","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24947013","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:eprints.gla.ac.uk:94668","is_oa":false,"landing_page_url":"http://eprints.gla.ac.uk/94668/7/94668.pdf","pdf_url":"http://eprints.gla.ac.uk/94668/7/94668.pdf","source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},{"id":"pmh:oai:europepmc.org:3071097","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4080774","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"},{"id":"pmh:oai:helda.helsinki.fi:10138/162779","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/162779","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-15-208","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-15-208","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-15-208","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":[],"awards":[{"id":"https://openalex.org/G4249896723","display_name":null,"funder_award_id":"251170","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"},{"id":"https://openalex.org/G6321830016","display_name":null,"funder_award_id":"140057","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320321394","display_name":"Aalto-Yliopisto","ror":"https://ror.org/020hwjq30"},{"id":"https://openalex.org/F4320323337","display_name":"Tekniikan Edist\u00e4miss\u00e4\u00e4ti\u00f6","ror":"https://ror.org/03f420b93"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2097502538.pdf","grobid_xml":"https://content.openalex.org/works/W2097502538.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W197911868","https://openalex.org/W1480161928","https://openalex.org/W1525335187","https://openalex.org/W1543088395","https://openalex.org/W1596460436","https://openalex.org/W1761787460","https://openalex.org/W1964010911","https://openalex.org/W1977744350","https://openalex.org/W1978503036","https://openalex.org/W1989299822","https://openalex.org/W1999974018","https://openalex.org/W2016572177","https://openalex.org/W2020574670","https://openalex.org/W2037188908","https://openalex.org/W2048540822","https://openalex.org/W2079501320","https://openalex.org/W2096558953","https://openalex.org/W2100452303","https://openalex.org/W2107183338","https://openalex.org/W2110065044","https://openalex.org/W2133848263","https://openalex.org/W2133971927","https://openalex.org/W2142923621","https://openalex.org/W2150827955","https://openalex.org/W2162833336"],"related_works":["https://openalex.org/W4300980799","https://openalex.org/W2596100941","https://openalex.org/W4310837363","https://openalex.org/W2003174742","https://openalex.org/W207791811","https://openalex.org/W4255743975","https://openalex.org/W2048902253","https://openalex.org/W2025819516","https://openalex.org/W4367187823","https://openalex.org/W2120345775"],"abstract_inverted_index":{"BACKGROUND:":[0],"Mass":[1],"spectrometry-based":[2],"metabolomic":[3],"analysis":[4,19],"depends":[5],"upon":[6],"the":[7,22,38,51,55,64,76,102,137,161,165,170],"identification":[8,23],"of":[9,30,54,79,91,139,144],"spectral":[10,43],"peaks":[11,44,70,94,156],"by":[12,136],"their":[13,140],"mass":[14,56],"and":[15,50,108,121,179],"retention":[16],"time.":[17],"Statistical":[18],"that":[20,95,124],"follows":[21],"currently":[24],"relies":[25],"on":[26,111],"one":[27,98,131],"main":[28],"peak":[29],"each":[31],"compound.":[32,99],"However,":[33],"a":[34,85,105],"compound":[35,132],"present":[36,84],"in":[37],"sample":[39,147],"typically":[40],"produces":[41],"several":[42],"due":[45],"to":[46,66,74,127],"its":[47],"isotopic":[48],"properties":[49],"ionization":[52],"process":[53],"spectrometer":[57],"device.":[58],"In":[59],"this":[60],"work,":[61],"we":[62],"investigate":[63],"extent":[65],"which":[67],"these":[68],"additional":[69],"can":[71,133,149],"be":[72,128,134,150],"used":[73],"increase":[75],"statistical":[77],"strength":[78],"differential":[80],"analysis.":[81],"RESULTS:":[82],"We":[83,100],"Bayesian":[86],"approach":[87,103,168],"for":[88,119],"integrating":[89],"data":[90,180],"multiple":[92,155],"detected":[93],"come":[96],"from":[97],"demonstrate":[101],"through":[104],"simulated":[106],"experiment":[107],"validate":[109],"it":[110],"ultra":[112],"performance":[113],"liquid":[114],"chromatography-mass":[115],"spectrometry":[116],"(UPLC-MS)":[117],"experiments":[118],"metabolomics":[120],"lipidomics.":[122],"Peaks":[123],"are":[125,157,181],"likely":[126],"associated":[129],"with":[130],"clustered":[135],"similarity":[138],"chromatographic":[141],"shape.":[142],"Changes":[143],"concentration":[145],"between":[146],"groups":[148],"inferred":[151],"more":[152],"accurately":[153],"when":[154],"available.":[158],"CONCLUSIONS:":[159],"When":[160],"sample-size":[162],"is":[163],"limited,":[164],"proposed":[166],"multi-peak":[167],"improves":[169],"accuracy":[171],"at":[172,183],"inferring":[173],"covariate":[174],"effects.":[175],"An":[176],"R":[177],"implementation":[178],"available":[182],"http://research.ics.aalto.fi/mi/software/peakANOVA/.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
