{"id":"https://openalex.org/W2620723361","doi":"https://doi.org/10.1186/s12859-017-1993-1","title":"Improved high-dimensional prediction with Random Forests by the use of co-data","display_name":"Improved high-dimensional prediction with Random Forests by the use of co-data","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2620723361","doi":"https://doi.org/10.1186/s12859-017-1993-1","mag":"2620723361","pmid":"https://pubmed.ncbi.nlm.nih.gov/29281963"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-017-1993-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1993-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1993-1","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/track/pdf/10.1186/s12859-017-1993-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071286851","display_name":"Dennis E. te Beest","orcid":"https://orcid.org/0000-0001-5265-9008"},"institutions":[{"id":"https://openalex.org/I911458345","display_name":"Amsterdam UMC Location VUmc","ror":"https://ror.org/00q6h8f30","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833","https://openalex.org/I911458345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dennis E. te Beest","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands","institution_ids":["https://openalex.org/I911458345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013970883","display_name":"Steven W. Mes","orcid":null},"institutions":[{"id":"https://openalex.org/I911458345","display_name":"Amsterdam UMC Location VUmc","ror":"https://ror.org/00q6h8f30","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833","https://openalex.org/I911458345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Steven W. Mes","raw_affiliation_strings":["Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands","institution_ids":["https://openalex.org/I911458345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048187760","display_name":"Saskia M. Wilting","orcid":"https://orcid.org/0000-0002-2838-841X"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]},{"id":"https://openalex.org/I4210149908","display_name":"Erasmus MC Cancer Institute","ror":"https://ror.org/03r4m3349","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686","https://openalex.org/I4210149908"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Saskia M. Wilting","raw_affiliation_strings":["Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands","institution_ids":["https://openalex.org/I4210149908","https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077403448","display_name":"Ruud H. Brakenhoff","orcid":"https://orcid.org/0000-0003-3251-5378"},"institutions":[{"id":"https://openalex.org/I911458345","display_name":"Amsterdam UMC Location VUmc","ror":"https://ror.org/00q6h8f30","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833","https://openalex.org/I911458345"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ruud H. Brakenhoff","raw_affiliation_strings":["Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Otolaryngology-Head and Neck Surgery, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands","institution_ids":["https://openalex.org/I911458345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036462844","display_name":"Mark A. van de Wiel","orcid":"https://orcid.org/0000-0003-4780-8472"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mark A. van de Wiel","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands. mark.vdwiel@vumc.nl","Department of Mathematics, VU University, Amsterdam, 1081 HV, The Netherlands. mark.vdwiel@vumc.nl","Department of Mathematics, VU University, Amsterdam, 1081 HV, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, 1007 MB, The Netherlands. mark.vdwiel@vumc.nl","institution_ids":[]},{"raw_affiliation_string":"Department of Mathematics, VU University, Amsterdam, 1081 HV, The Netherlands. mark.vdwiel@vumc.nl","institution_ids":[]},{"raw_affiliation_string":"Department of Mathematics, VU University, Amsterdam, 1081 HV, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036462844"],"corresponding_institution_ids":["https://openalex.org/I865915315"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.5464,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.65219606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"1","first_page":"584","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9168000221252441,"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":0.9168000221252441,"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/T10136","display_name":"Statistical Methods and Inference","score":0.008899999782443047,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.007799999788403511,"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/random-forest","display_name":"Random forest","score":0.7436223030090332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55191570520401},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5423889756202698},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5402713418006897},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5135164856910706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4996938705444336},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44833287596702576},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4433516263961792},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.41913914680480957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3219355344772339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24989011883735657},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.24425667524337769}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7436223030090332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55191570520401},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5423889756202698},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5402713418006897},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5135164856910706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4996938705444336},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44833287596702576},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4433516263961792},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.41913914680480957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3219355344772339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24989011883735657},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.24425667524337769},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D001499","descriptor_name":"Bayes Theorem","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","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":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019992","descriptor_name":"Databases as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":11,"locations":[{"id":"doi:10.1186/s12859-017-1993-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1993-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1993-1","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:29281963","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29281963","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:pure.atira.dk:openaire_cris_publications/c26fdec1-d6fd-49f6-8ccb-f45d7eac8738","is_oa":false,"landing_page_url":"https://research.vumc.nl/en/publications/c26fdec1-d6fd-49f6-8ccb-f45d7eac8738","pdf_url":null,"source":{"id":"https://openalex.org/S7407055350","display_name":"Amsterdam UMC (VU Amsterdam) - Institutional Repository","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"te Beest, D E, Mes, S W, Wilting, S M, Brakenhoff, R H & van de Wiel, M A 2017, 'Improved high-dimensional prediction with Random Forests by the use of co-data', BMC Bioinformatics, vol. 18, no. 1, 584. https://doi.org/10.1186/s12859-017-1993-1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:research.vu.nl:openaire_cris_publications/be12708f-a05f-4497-8e26-928b5d0d2ee7","is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/be12708f-a05f-4497-8e26-928b5d0d2ee7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"te Beest, D E, Mes, S W, Wilting, S M, Brakenhoff, R H & van de Wiel, M A 2017, 'Improved high-dimensional prediction with Random Forests by the use of co-data', BMC Bioinformatics, vol. 18, no. 1, 584. https://doi.org/10.1186/s12859-017-1993-1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire_cris_publications/4bbb12e8-6246-4865-9d26-82217b97ac9d","is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/4bbb12e8-6246-4865-9d26-82217b97ac9d","pdf_url":"https://pure.amsterdamumc.nl/files/158997975/Improved-high-dimensional-prediction-with-random-forests-by-the-use-of-co-data.pdf","source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"te Beest, D E, Mes, S W, Wilting, S M, Brakenhoff, R H & van de Wiel, M A 2017, 'Improved high-dimensional prediction with Random Forests by the use of co-data', BMC bioinformatics, vol. 18, no. 1, 584. https://doi.org/10.1186/s12859-017-1993-1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:eur:oai:pure.eur.nl:publications/e9c8309d-c013-4013-9698-1e2c098c60f8","is_oa":true,"landing_page_url":"https://pure.eur.nl/en/publications/e9c8309d-c013-4013-9698-1e2c098c60f8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"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":"BMC Bioinformatics, 18:584. BioMed Central Ltd.","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:eur:oai:repub.eur.nl:103785","is_oa":true,"landing_page_url":"http://hdl.handle.net/1765/103785","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"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":"B M C Bioinformatics, 18(1)","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:europepmc.org:4665410","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5745983","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:repub.eur.nl:103785","is_oa":true,"landing_page_url":"http://repub.eur.nl/pub/103785","pdf_url":null,"source":{"id":"https://openalex.org/S4377196287","display_name":"RePub (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"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":"B M C Bioinformatics vol. 18 no. 1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:research.vu.nl:openaire/be12708f-a05f-4497-8e26-928b5d0d2ee7","is_oa":true,"landing_page_url":"https://hdl.handle.net/1871.1/be12708f-a05f-4497-8e26-928b5d0d2ee7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"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":"te Beest, D E, Mes, S W, Wilting, S M, Brakenhoff, R H & van de Wiel, M A 2017, 'Improved high-dimensional prediction with Random Forests by the use of co-data', BMC Bioinformatics, vol. 18, no. 1, 584. https://doi.org/10.1186/s12859-017-1993-1","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:1134380","is_oa":true,"landing_page_url":"https://zenodo.org/record/1134380","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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 18(1) 584","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s12859-017-1993-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1993-1","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1993-1","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":[{"id":"https://metadata.un.org/sdg/15","score":0.7400000095367432,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1265027375","display_name":"VPH based predictive model for oral cancer reoccurrence in the clinical practice","funder_award_id":"611425","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2126850502","display_name":"Molecular Self Screening for Cervical Cancer Prevention","funder_award_id":"322986","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3870706655","display_name":"Big Data and models for personalized Head and Neck Cancer Decision support","funder_award_id":"689715","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4497484841","display_name":null,"funder_award_id":"322986","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7073717760","display_name":null,"funder_award_id":"689715","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2620723361.pdf","grobid_xml":"https://content.openalex.org/works/W2620723361.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1513618424","https://openalex.org/W1520812622","https://openalex.org/W1578530776","https://openalex.org/W1881929920","https://openalex.org/W1986241711","https://openalex.org/W1987371344","https://openalex.org/W1990420052","https://openalex.org/W1994018858","https://openalex.org/W1995087258","https://openalex.org/W2005145657","https://openalex.org/W2006617902","https://openalex.org/W2012097245","https://openalex.org/W2020925091","https://openalex.org/W2032388524","https://openalex.org/W2033803508","https://openalex.org/W2043175314","https://openalex.org/W2047329948","https://openalex.org/W2052825782","https://openalex.org/W2059940278","https://openalex.org/W2072303713","https://openalex.org/W2073241381","https://openalex.org/W2091374137","https://openalex.org/W2096913263","https://openalex.org/W2101250437","https://openalex.org/W2106398669","https://openalex.org/W2107239547","https://openalex.org/W2113242816","https://openalex.org/W2120286164","https://openalex.org/W2121854540","https://openalex.org/W2130681687","https://openalex.org/W2134752341","https://openalex.org/W2162617056","https://openalex.org/W2163402891","https://openalex.org/W2532009636","https://openalex.org/W2610963195","https://openalex.org/W2736919349","https://openalex.org/W2787894218","https://openalex.org/W2796632451","https://openalex.org/W2911964244","https://openalex.org/W3037000643","https://openalex.org/W3099478002","https://openalex.org/W6665474548"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2901774584"],"abstract_inverted_index":{"BACKGROUND:":[0],"Prediction":[1],"in":[2,36,44],"high":[3],"dimensional":[4],"settings":[5],"is":[6,75,215],"difficult":[7],"due":[8],"to":[9,16,28,57,123,188,217,221],"the":[10,17,30,45,50,78,81,102,108,118,125,148,159,163,169,182,185,189,193,223],"large":[11],"number":[12,156,194],"of":[13,32,80,127,141,171,184,195,205,225],"variables":[14,60,79],"relative":[15,187],"sample":[18],"size.":[19],"We":[20,106,136],"demonstrate":[21,107,137,167],"how":[22,138,168],"auxiliary":[23,219],"'co-data'":[24],"can":[25,157,177],"be":[26,178],"used":[27,56],"improve":[29,158,222],"performance":[31,224],"a":[33,38,128,139,144,200,203,208,226],"Random":[34,46,111,227],"Forest":[35,47,112],"such":[37],"setting.":[39],"RESULTS:":[40],"Co-data":[41,66],"are":[42,55,68],"incorporated":[43],"by":[48,61,97,180,199],"replacing":[49],"uniform":[51],"sampling":[52,64,93],"probabilities":[53,94],"that":[54,74],"draw":[58],"candidate":[59],"co-data":[62,109,220],"moderated":[63,92,110],"probabilities.":[65],"here":[67],"defined":[69],"as":[70],"any":[71],"type":[72],"information":[73],"available":[76],"on":[77],"primary":[82],"data,":[83],"but":[84],"does":[85],"not":[86],"use":[87],"its":[88],"response":[89],"labels.":[90],"These":[91],"are,":[95],"inspired":[96],"empirical":[98],"Bayes,":[99],"learned":[100],"from":[101,207],"data":[103,176],"at":[104],"hand.":[105],"(CoRF)":[113],"with":[114,132,174],"two":[115],"examples.":[116],"In":[117,162],"first":[119],"example":[120,165],"we":[121,166],"aim":[122],"predict":[124],"presence":[126],"lymph":[129],"node":[130],"metastasis":[131],"gene":[133,145,151],"expression":[134,152],"data.":[135],"set":[140,204],"external":[142],"p-values,":[143],"signature,":[146],"and":[147,153,202],"correlation":[149],"between":[150],"DNA":[154],"copy":[155],"predictive":[160],"performance.":[161],"second":[164],"prediction":[170],"cervical":[172],"(pre-)cancer":[173],"methylation":[175],"improved":[179],"including":[181],"location":[183],"probe":[186],"known":[190],"CpG":[191,196],"islands,":[192],"sites":[197],"targeted":[198],"probe,":[201],"p-values":[206],"related":[209],"study.":[210],"CONCLUSION:":[211],"The":[212],"proposed":[213],"method":[214],"able":[216],"utilize":[218],"Forest.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2017-06-09T00:00:00"}