{"id":"https://openalex.org/W2805679332","doi":"https://doi.org/10.1186/s12859-018-2149-7","title":"Ensemble outlier detection and gene selection in triple-negative breast cancer data","display_name":"Ensemble outlier detection and gene selection in triple-negative breast cancer data","publication_year":2018,"publication_date":"2018-05-04","ids":{"openalex":"https://openalex.org/W2805679332","doi":"https://doi.org/10.1186/s12859-018-2149-7","mag":"2805679332","pmid":"https://pubmed.ncbi.nlm.nih.gov/29728051"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-018-2149-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2149-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2149-7","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","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2149-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100611054","display_name":"Marta B. Lopes","orcid":"https://orcid.org/0000-0002-4135-1857"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Marta B. Lopes","raw_affiliation_strings":["IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-4135-1857","affiliations":[{"raw_affiliation_string":"IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053180327","display_name":"Andr\u00e9 Ver\u00edssimo","orcid":"https://orcid.org/0000-0002-2212-339X"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Ver\u00edssimo","raw_affiliation_strings":["IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064430711","display_name":"Eunice Carrasquinha","orcid":"https://orcid.org/0000-0003-3465-4347"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Eunice Carrasquinha","raw_affiliation_strings":["IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051232543","display_name":"Sandra Casimiro","orcid":"https://orcid.org/0000-0002-6917-4477"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Sandra Casimiro","raw_affiliation_strings":["Luis Costa Lab, Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa, 1649-028, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Luis Costa Lab, Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, Lisboa, 1649-028, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035497488","display_name":"Niko Beerenwinkel","orcid":"https://orcid.org/0000-0002-0573-6119"},"institutions":[{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"nonprofit","lineage":["https://openalex.org/I12708293"]},{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Niko Beerenwinkel","raw_affiliation_strings":["Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel, 4058, Switzerland","SIB Swiss Institute of Bioinformatics, Mattenstrasse 26, Basel, 4058, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel, 4058, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"SIB Swiss Institute of Bioinformatics, Mattenstrasse 26, Basel, 4058, Switzerland","institution_ids":["https://openalex.org/I12708293"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005271169","display_name":"Susana Vinga","orcid":"https://orcid.org/0000-0002-1954-5487"},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Susana Vinga","raw_affiliation_strings":["IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal. susanavinga@tecnico.ulisboa.pt","INESC-ID, Instituto de Engenharia de Sistemas e Computadores - Investiga\u00e7\u00e3o e Desenvolvimento, Rua Alves Redol 9, Lisboa, 1000-029, Portugal. susanavinga@tecnico.ulisboa.pt","INESC-ID, Instituto de Engenharia de Sistemas e Computadores - Investiga\u00e7\u00e3o e Desenvolvimento, Rua Alves Redol 9, Lisboa, 1000-029, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IDMEC, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, 1049-001, Portugal. susanavinga@tecnico.ulisboa.pt","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"INESC-ID, Instituto de Engenharia de Sistemas e Computadores - Investiga\u00e7\u00e3o e Desenvolvimento, Rua Alves Redol 9, Lisboa, 1000-029, Portugal. susanavinga@tecnico.ulisboa.pt","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"INESC-ID, Instituto de Engenharia de Sistemas e Computadores - Investiga\u00e7\u00e3o e Desenvolvimento, Rua Alves Redol 9, Lisboa, 1000-029, Portugal","institution_ids":["https://openalex.org/I121345201"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100611054"],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.8559,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.85976681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"1","first_page":"168","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.38190001249313354,"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/T10885","display_name":"Gene expression and cancer classification","score":0.38190001249313354,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.1185000017285347,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.04989999905228615,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.6766229867935181},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6563520431518555},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5444009304046631},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.49631601572036743},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.47774308919906616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45985299348831177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4534015357494354},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.42409729957580566},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4221198260784149},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4180900454521179},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.40068042278289795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38887500762939453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3650989234447479},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34136849641799927},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2990785837173462},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2790592312812805},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.20880812406539917},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.17173856496810913},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.12228909134864807}],"concepts":[{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.6766229867935181},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6563520431518555},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5444009304046631},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.49631601572036743},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.47774308919906616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45985299348831177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4534015357494354},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.42409729957580566},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4221198260784149},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4180900454521179},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.40068042278289795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38887500762939453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3650989234447479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34136849641799927},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2990785837173462},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2790592312812805},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.20880812406539917},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.17173856496810913},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.12228909134864807},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000073336","descriptor_name":"Whole Genome Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000073336","descriptor_name":"Whole Genome Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000073336","descriptor_name":"Whole Genome Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064726","descriptor_name":"Triple Negative Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D064726","descriptor_name":"Triple Negative Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D064726","descriptor_name":"Triple Negative Breast Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D064726","descriptor_name":"Triple Negative Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D064726","descriptor_name":"Triple Negative Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D064726","descriptor_name":"Triple Negative Breast Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false}],"locations_count":8,"locations":[{"id":"doi:10.1186/s12859-018-2149-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2149-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2149-7","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:29728051","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29728051","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:2e73e1be010c4d1f9ef4b704c68dcddb","is_oa":true,"landing_page_url":"https://doaj.org/article/2e73e1be010c4d1f9ef4b704c68dcddb","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 19, Iss 1, Pp 1-15 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4866292","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5936001","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5936001","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5936001","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:repositorio.ul.pt:10451/54572","is_oa":true,"landing_page_url":"http://hdl.handle.net/10451/54572","pdf_url":null,"source":{"id":"https://openalex.org/S4306401074","display_name":"Reposit\u00f3rio da Universidade de Lisboa (University of Lisbon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I141596103","host_organization_name":"University of Lisbon","host_organization_lineage":["https://openalex.org/I141596103"],"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":"","raw_type":"journal article"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/265147","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/265147","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"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":"BMC Bioinformatics, 19","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.3929/ethz-b-000265147","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000265147","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1186/s12859-018-2149-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2149-7","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2149-7","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":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1355505928","display_name":null,"funder_award_id":"IF/00653/2012","funder_id":"https://openalex.org/F4320338080","funder_display_name":"European Social Fund"},{"id":"https://openalex.org/G2856841520","display_name":null,"funder_award_id":"EMS/50022/2013","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G290693955","display_name":null,"funder_award_id":"PTDC/EMS-SIS/0642/2014","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G5723335707","display_name":"Statistical multi-Omics UNDerstanding of Patient Samples","funder_award_id":"633974","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5892973716","display_name":null,"funder_award_id":"IF/00653/2012","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7954633420","display_name":null,"funder_award_id":"UID/EMS/50022/2013","funder_id":"https://openalex.org/F4320338080","funder_display_name":"European Social Fund"},{"id":"https://openalex.org/G8354620924","display_name":null,"funder_award_id":"SFRH/BD/97415/2013","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G8701189561","display_name":null,"funder_award_id":"UID/EMS/50022/2013","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805679332.pdf","grobid_xml":"https://content.openalex.org/works/W2805679332.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W20683381","https://openalex.org/W1549767197","https://openalex.org/W1884264718","https://openalex.org/W1966603018","https://openalex.org/W1990378711","https://openalex.org/W1998613841","https://openalex.org/W2006627763","https://openalex.org/W2020214980","https://openalex.org/W2022397091","https://openalex.org/W2030988158","https://openalex.org/W2035421116","https://openalex.org/W2045909049","https://openalex.org/W2056081083","https://openalex.org/W2082938293","https://openalex.org/W2096027508","https://openalex.org/W2097057782","https://openalex.org/W2099715704","https://openalex.org/W2101979288","https://openalex.org/W2105381419","https://openalex.org/W2118924197","https://openalex.org/W2122825543","https://openalex.org/W2126379430","https://openalex.org/W2128873464","https://openalex.org/W2135046866","https://openalex.org/W2137853125","https://openalex.org/W2138890144","https://openalex.org/W2162987503","https://openalex.org/W2166446427","https://openalex.org/W2170917242","https://openalex.org/W2172244899","https://openalex.org/W2296719434","https://openalex.org/W2338310947","https://openalex.org/W2401086791","https://openalex.org/W2520059101","https://openalex.org/W2626037325","https://openalex.org/W4233620411","https://openalex.org/W6699049627"],"related_works":["https://openalex.org/W2468272465","https://openalex.org/W2429564919","https://openalex.org/W757986597","https://openalex.org/W4212910148","https://openalex.org/W4213314600","https://openalex.org/W4210804200","https://openalex.org/W4399551893","https://openalex.org/W2954774635","https://openalex.org/W4392841950","https://openalex.org/W3123944750"],"abstract_inverted_index":{"BACKGROUND:":[0],"Learning":[1],"accurate":[2],"models":[3,298],"from":[4,159],"'omics":[5],"data":[6,158],"is":[7,119],"bringing":[8],"many":[9],"challenges":[10],"due":[11],"to":[12,30,67,176,217,229,236,272,295],"their":[13,139],"inherent":[14],"high-dimensionality,":[15],"e.g.":[16],"the":[17,35,56,109,114,122,148,160,183,200,207,212,218,230,257],"number":[18],"of":[19,37,53,58,108,135,150,193,220,223,245,250,256],"gene":[20],"expression":[21,191],"variables,":[22],"and":[23,55,81,99,156,196,276,299],"comparatively":[24],"lower":[25],"sample":[26],"sizes,":[27],"which":[28,130,204,279],"leads":[29,216],"ill-posed":[31],"inverse":[32],"problems.":[33],"Furthermore,":[34],"presence":[36],"outliers,":[38],"either":[39,240],"experimental":[40],"errors":[41],"or":[42,247],"interesting":[43],"abnormal":[44,190,274],"clinical":[45,157,180,202],"cases,":[46],"may":[47,205,226,280],"severely":[48],"hamper":[49],"a":[50,62,132,221,237,243,248,253,269],"correct":[51],"classification":[52,74,149],"patients":[54,246,259],"identification":[57],"reliable":[59],"biomarkers":[60],"for":[61,127,147,182,284],"particular":[63],"disease.":[64,231],"We":[65,143],"propose":[66],"address":[68],"this":[69,145],"problem":[70],"through":[71],"an":[72,106],"ensemble":[73,264],"setting":[75],"based":[76,112],"on":[77,113],"distinct":[78],"feature":[79],"selection":[80,219,283],"modeling":[82],"strategies,":[83],"including":[84],"logistic":[85],"regression":[86,297],"with":[87,105,121,178,189,199,252],"elastic":[88],"net":[89],"regularization,":[90],"Sparse":[91,100],"Partial":[92],"Least":[93],"Squares":[94],"-":[95],"Discriminant":[96],"Analysis":[97],"(SPLS-DA)":[98],"Generalized":[101],"PLS":[102],"(SGPLS),":[103],"coupled":[104],"evaluation":[107],"individuals'":[110],"outlierness":[111,140],"Cook's":[115],"distance.":[116],"The":[117,165,262,288],"consensus":[118,214,277],"achieved":[120],"Rank":[123],"Product":[124],"statistics":[125],"corrected":[126],"multiple":[128],"testing,":[129],"gives":[131],"final":[133],"list":[134],"sorted":[136],"observations":[137],"by":[138,241],"level.":[141],"RESULTS:":[142],"applied":[144],"strategy":[146],"Triple-Negative":[151],"Breast":[152],"Cancer":[153,161],"(TNBC)":[154],"RNA-Seq":[155],"Genome":[162],"Atlas":[163],"(TCGA).":[164],"detected":[166],"24":[167],"outliers":[168],"were":[169],"identified":[170],"as":[171],"putative":[172],"mislabeled":[173],"samples,":[174],"corresponding":[175,201],"individuals":[177,188],"discrepant":[179],"labels":[181],"HER2":[184],"receptor,":[185],"but":[186],"also":[187,291],"values":[192],"ER,":[194],"PR":[195],"HER2,":[197],"contradictory":[198],"labels,":[203],"invalidate":[206],"initial":[208],"TNBC":[209],"label.":[210],"Moreover,":[211],"model":[213],"approach":[215,267],"set":[222],"genes":[224],"that":[225],"be":[227,292],"linked":[228],"These":[232],"results":[233],"are":[234],"robust":[235,270],"resampling":[238],"approach,":[239],"selecting":[242],"subset":[244,249],"genes,":[251],"significant":[254],"overlap":[255],"outlier":[258,265],"identified.":[260],"CONCLUSIONS:":[261],"proposed":[263],"detection":[266],"constitutes":[268],"procedure":[271],"identify":[273],"cases":[275],"covariates,":[278],"improve":[281],"biomarker":[282],"precision":[285],"medicine":[286],"applications.":[287],"method":[289],"can":[290],"easily":[293],"extended":[294],"other":[296],"datasets.":[300]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}