{"id":"https://openalex.org/W2142935555","doi":"https://doi.org/10.1093/bioinformatics/btu381","title":"<tt>LICRE</tt>: unsupervised feature correlation reduction for lipidomics","display_name":"<tt>LICRE</tt>: unsupervised feature correlation reduction for lipidomics","publication_year":2014,"publication_date":"2014-06-13","ids":{"openalex":"https://openalex.org/W2142935555","doi":"https://doi.org/10.1093/bioinformatics/btu381","mag":"2142935555","pmid":"https://pubmed.ncbi.nlm.nih.gov/24930143"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btu381","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btu381","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/30/19/2832/49872457/bioinformatics_30_19_2832.pdf","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":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/30/19/2832/49872457/bioinformatics_30_19_2832.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103564107","display_name":"Gerard Wong","orcid":null},"institutions":[{"id":"https://openalex.org/I142471025","display_name":"Baker Heart and Diabetes Institute","ror":"https://ror.org/03rke0285","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I142471025"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Gerard Wong","raw_affiliation_strings":["1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia","institution_ids":["https://openalex.org/I142471025","https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071422010","display_name":"Jeffrey Chan","orcid":"https://orcid.org/0000-0002-7865-072X"},"institutions":[{"id":"https://openalex.org/I142471025","display_name":"Baker Heart and Diabetes Institute","ror":"https://ror.org/03rke0285","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I142471025"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jeffrey Chan","raw_affiliation_strings":["1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia","institution_ids":["https://openalex.org/I142471025","https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048747672","display_name":"Bronwyn A. Kingwell","orcid":"https://orcid.org/0000-0002-2162-0458"},"institutions":[{"id":"https://openalex.org/I142471025","display_name":"Baker Heart and Diabetes Institute","ror":"https://ror.org/03rke0285","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I142471025"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bronwyn A. Kingwell","raw_affiliation_strings":["1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia","institution_ids":["https://openalex.org/I142471025","https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076014464","display_name":"Christopher Leckie","orcid":"https://orcid.org/0000-0002-4388-0517"},"institutions":[{"id":"https://openalex.org/I142471025","display_name":"Baker Heart and Diabetes Institute","ror":"https://ror.org/03rke0285","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I142471025"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christopher Leckie","raw_affiliation_strings":["1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia","institution_ids":["https://openalex.org/I142471025","https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010188514","display_name":"Peter J. Meikle","orcid":"https://orcid.org/0000-0002-2593-4665"},"institutions":[{"id":"https://openalex.org/I142471025","display_name":"Baker Heart and Diabetes Institute","ror":"https://ror.org/03rke0285","country_code":"AU","type":"nonprofit","lineage":["https://openalex.org/I142471025"]},{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter J. Meikle","raw_affiliation_strings":["1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1 Baker IDI Heart and Diabetes Institute, Melbourne, Victoria 3004, Australia and 2 Department of Computing and Information Systems, The University of Melbourne, Parkville, Victoria 3010, Australia","institution_ids":["https://openalex.org/I142471025","https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103564107"],"corresponding_institution_ids":["https://openalex.org/I142471025","https://openalex.org/I165779595"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":0.5205,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.65111749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":"19","first_page":"2832","last_page":"2833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9933000206947327,"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":0.9933000206947327,"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/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.0024999999441206455,"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":0.0010000000474974513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lipidomics","display_name":"Lipidomics","score":0.8680197596549988},{"id":"https://openalex.org/keywords/lipidome","display_name":"Lipidome","score":0.8253253698348999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5967778563499451},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.511347234249115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4581294655799866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4232778251171112},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.4110392928123474},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.33766406774520874},{"id":"https://openalex.org/keywords/proteomics","display_name":"Proteomics","score":0.20982760190963745},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20893940329551697},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.12256455421447754}],"concepts":[{"id":"https://openalex.org/C58017582","wikidata":"https://www.wikidata.org/wiki/Q6556376","display_name":"Lipidomics","level":2,"score":0.8680197596549988},{"id":"https://openalex.org/C2780241833","wikidata":"https://www.wikidata.org/wiki/Q6556375","display_name":"Lipidome","level":3,"score":0.8253253698348999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5967778563499451},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.511347234249115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4581294655799866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4232778251171112},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.4110392928123474},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.33766406774520874},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.20982760190963745},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20893940329551697},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.12256455421447754},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D002853","descriptor_name":"Chromatography, Liquid","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002853","descriptor_name":"Chromatography, Liquid","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002853","descriptor_name":"Chromatography, Liquid","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008055","descriptor_name":"Lipids","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D008055","descriptor_name":"Lipids","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D008055","descriptor_name":"Lipids","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","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":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D053719","descriptor_name":"Tandem Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1093/bioinformatics/btu381","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btu381","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/30/19/2832/49872457/bioinformatics_30_19_2832.pdf","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:24930143","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24930143","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:pubmedcentral.nih.gov:4173018","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4173018","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:alma.61RMIT_INST:11247060760001341","is_oa":false,"landing_page_url":"http://doi.org/10.1093/bioinformatics/btu381","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btu381","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btu381","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/30/19/2832/49872457/bioinformatics_30_19_2832.pdf","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"},"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":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G4143230770","display_name":null,"funder_award_id":"1R01DK088972-01","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"},{"id":"https://openalex.org/G7596214738","display_name":null,"funder_award_id":"R01 DK088972","funder_id":"https://openalex.org/F4320337357","funder_display_name":"National Institute of Diabetes and Digestive and Kidney Diseases"}],"funders":[{"id":"https://openalex.org/F4320337357","display_name":"National Institute of Diabetes and Digestive and Kidney Diseases","ror":"https://ror.org/00adh9b73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1480782025","https://openalex.org/W2048092465","https://openalex.org/W2100070345","https://openalex.org/W2102004686","https://openalex.org/W2147155457","https://openalex.org/W2170590171","https://openalex.org/W6662878164","https://openalex.org/W6681933847"],"related_works":["https://openalex.org/W4317479263","https://openalex.org/W2732317838","https://openalex.org/W3207725197","https://openalex.org/W2986402841","https://openalex.org/W1995155492","https://openalex.org/W2768723747","https://openalex.org/W3209610556","https://openalex.org/W2795506919","https://openalex.org/W2091512523","https://openalex.org/W2746999282"],"abstract_inverted_index":{"MOTIVATION:":[0],"Recent":[1],"advances":[2],"in":[3,34,131,186,194],"high-throughput":[4],"lipid":[5,26,57,70,208],"profiling":[6],"by":[7,134],"liquid":[8],"chromatography":[9],"electrospray":[10],"ionization":[11],"tandem":[12],"mass":[13],"spectrometry":[14],"(LC-ESI-MS/MS)":[15],"have":[16],"made":[17],"it":[18],"possible":[19],"to":[20,52,55,75,146,182],"quantify":[21],"hundreds":[22,40],"of":[23,41,47,50,82,90,94,109,119,138,163,180,196,221],"individual":[24],"molecular":[25],"species":[27],"(e.g.":[28],"fatty":[29],"acyls,":[30],"glycerolipids,":[31],"glycerophospholipids,":[32],"sphingolipids)":[33],"a":[35,91,99,110,113,160,173],"single":[36],"experimental":[37],"run":[38],"for":[39,79,151],"samples.":[42],"This":[43],"enables":[44],"the":[45,80,88,117,136,197,200],"lipidome":[46],"large":[48,92],"cohorts":[49],"subjects":[51],"be":[53,73],"profiled":[54],"identify":[56],"biomarkers":[58,71,97,133,164],"significantly":[59],"associated":[60,107],"with":[61],"disease":[62,83,190],"risk,":[63],"progression":[64],"and":[65,115,170,188],"treatment":[66],"response.":[67],"Clinically,":[68],"these":[69],"can":[72,127],"used":[74],"construct":[76],"classification":[77,103,149],"models":[78,157],"purpose":[81],"screening":[84],"or":[85,112],"diagnosis.":[86],"However,":[87],"inclusion":[89],"number":[93,137,162],"highly":[95,139],"correlated":[96,140],"within":[98],"model":[100],"may":[101],"reduce":[102,116,128],"performance,":[104],"unnecessarily":[105],"inflate":[106],"costs":[108],"diagnosis":[111],"screen":[114],"feasibility":[118],"clinical":[120,153,174,213],"translation.":[121],"An":[122],"unsupervised":[123],"feature":[124,129],"reduction":[125],"approach":[126],"redundancy":[130],"lipidomic":[132,184],"limiting":[135],"lipids":[141],"while":[142,205],"retaining":[143],"informative":[144],"features":[145],"achieve":[147],"good":[148],"performance":[150],"various":[152,183,212],"outcomes.":[154,214],"Good":[155],"predictive":[156],"based":[158],"on":[159],"reduced":[161],"are":[165],"also":[166],"more":[167],"cost":[168],"effective":[169],"feasible":[171],"from":[172,225],"translation":[175],"perspective.":[176],"RESULTS:":[177],"The":[178,218],"application":[179],"LICRE":[181,222],"datasets":[185],"diabetes":[187],"cardiovascular":[189],"demonstrated":[191],"superior":[192],"discrimination":[193],"terms":[195],"area":[198],"under":[199],"receiver":[201],"operator":[202],"characteristic":[203],"curve":[204],"using":[206],"fewer":[207],"markers":[209],"when":[210],"predicting":[211],"AVAILABILITY":[215],"AND":[216],"IMPLEMENTATION:":[217],"MATLAB":[219],"implementation":[220],"is":[223],"available":[224],"http://ww2.cs.mu.oz.au/\u223cgwong/LICRE":[226]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2016-06-24T00:00:00"}
