{"id":"https://openalex.org/W2122537861","doi":"https://doi.org/10.1093/bioinformatics/btm104","title":"Regression analysis and modelling of data acquisition for SELDI-TOF mass spectrometry","display_name":"Regression analysis and modelling of data acquisition for SELDI-TOF mass spectrometry","publication_year":2007,"publication_date":"2007-03-25","ids":{"openalex":"https://openalex.org/W2122537861","doi":"https://doi.org/10.1093/bioinformatics/btm104","mag":"2122537861","pmid":"https://pubmed.ncbi.nlm.nih.gov/17387110"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btm104","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btm104","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"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/A5085438198","display_name":"Martin Sk\u00f6ld","orcid":"https://orcid.org/0000-0001-7053-9667"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Martin Sk\u00f6ld","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005769394","display_name":"Tobias Ryd\u00e8n","orcid":"https://orcid.org/0000-0002-0384-6795"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tobias Ryd\u00e9n","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019955383","display_name":"Viktoria Samuelsson","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Viktoria Samuelsson","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110162118","display_name":"Charlotte Bratt","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Charlotte Bratt","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009778636","display_name":"Lars Ekblad","orcid":"https://orcid.org/0000-0003-0152-786X"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lars Ekblad","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002339556","display_name":"H\u00e5kan Olsson","orcid":"https://orcid.org/0000-0002-8794-9635"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"H\u00e5kan Olsson","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014200970","display_name":"Bo Baldetorp","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Bo Baldetorp","raw_affiliation_strings":["1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden, 2Oncological Centre, University Hospital, Klinikgatan 22, SE-221 85 Lund, Sweden and 3Department of Oncology, Lund University, Barngatan 2:1, SE-221 85 Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085438198"],"corresponding_institution_ids":["https://openalex.org/I187531555"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":0.8544,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.71740243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"11","first_page":"1401","last_page":"1409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T12073","display_name":"Isotope Analysis in Ecology","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9954000115394592,"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/pooling","display_name":"Pooling","score":0.7463558912277222},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.6649872660636902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664738655090332},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6609103679656982},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5776554346084595},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5386040210723877},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4820212125778198},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.45928525924682617},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4587647318840027},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.445875883102417},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4404967725276947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34933891892433167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3251552879810333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2274954915046692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2016054391860962}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7463558912277222},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.6649872660636902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664738655090332},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6609103679656982},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5776554346084595},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5386040210723877},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4820212125778198},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.45928525924682617},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4587647318840027},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.445875883102417},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4404967725276947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34933891892433167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3251552879810333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2274954915046692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2016054391860962},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","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":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019032","descriptor_name":"Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019032","descriptor_name":"Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019032","descriptor_name":"Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D046228","descriptor_name":"Microarray Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/btm104","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btm104","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:17387110","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/17387110","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":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:lup.lub.lu.se:78f285a9-4bb0-40e5-9664-edbbf6527e83","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/166222","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1367-4803","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2028087310","https://openalex.org/W2077094586","https://openalex.org/W2120501961","https://openalex.org/W2123989476","https://openalex.org/W2140087905"],"related_works":["https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W22115721","https://openalex.org/W2321234655","https://openalex.org/W2065444835","https://openalex.org/W4394550905","https://openalex.org/W2953234277","https://openalex.org/W2952773340","https://openalex.org/W2470062578","https://openalex.org/W4404187687"],"abstract_inverted_index":{"MOTIVATION:":[0],"Pre-processing":[1],"of":[2,20,36,48,53,73,96,109,121,135,158,177,200],"SELDI-TOF":[3],"mass":[4],"spectrometry":[5],"data":[6,90,164],"is":[7],"currently":[8,110],"performed":[9,59],"on":[10,131,191],"a":[11,30,50,56,79,93,114,188],"largel":[12],"y":[13],"ad":[14],"hoc":[15],"basis.":[16],"This":[17,146],"makes":[18],"comparison":[19],"results":[21,154],"from":[22,92,155,168],"independent":[23],"analyses":[24],"troublesome":[25],"and":[26,85,117,160],"does":[27],"not":[28,172],"provide":[29,78],"framework":[31,80,105],"for":[32,81,86,194],"distinguishing":[33],"different":[34,143],"sources":[35],"variation":[37,147],"in":[38,148],"data.":[39],"RESULTS:":[40],"In":[41],"this":[42,127],"article,":[43],"we":[44,77,161],"consider":[45],"the":[46,62,67,102,132,153,174,178,185,192,197],"task":[47,57],"pooling":[49],"large":[51],"number":[52,134],"single-shot":[54],"spectra,":[55],"commonly":[58],"automatically":[60],"by":[61,101,207],"instrument":[63],"software.":[64],"By":[65],"viewing":[66],"underlying":[68],"statistical":[69],"problem":[70],"as":[71,113],"one":[72],"heteroscedastic":[74],"linear":[75],"regression,":[76],"introducing":[82],"robust":[83,169],"methods":[84,112,157,167],"dealing":[87],"with":[88],"missing":[89,182],"resulting":[91],"limited":[94],"span":[95],"recordable":[97],"intensity":[98],"values":[99,183],"provided":[100],"instrument.":[103],"Our":[104],"provides":[106],"an":[107],"interpretation":[108],"used":[111],"maximum-likelihood":[115],"estimator":[116],"allows":[118],"theoretical":[119],"derivation":[120],"its":[122],"variance.":[123],"We":[124],"observe":[125],"that":[126],"variance":[128,149],"depends":[129],"crucially":[130],"total":[133],"ionic":[136],"species,":[137],"which":[138,202],"can":[139,150],"vary":[140],"considerably":[141],"between":[142],"pooled":[144,179,198],"spectra.":[145],"potentially":[151],"invalidate":[152],"naive":[156],"discrimination/classification":[159],"outline":[162],"appropriate":[163],"transformations.":[165],"Introducing":[166],"statistics":[170],"did":[171],"improve":[173],"standard":[175],"errors":[176],"samples.":[180],"Imputing":[181],"however-using":[184],"EM":[186],"algorithm-had":[187],"notable":[189],"effect":[190],"result;":[193],"our":[195],"data,":[196],"height":[199],"peaks":[201],"were":[203],"frequently":[204],"truncated":[205],"increased":[206],"up":[208],"to":[209],"30%.":[210]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}
