{"id":"https://openalex.org/W4406478860","doi":"https://doi.org/10.1093/bib/bbae709","title":"A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction","display_name":"A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4406478860","doi":"https://doi.org/10.1093/bib/bbae709","pmid":"https://pubmed.ncbi.nlm.nih.gov/39815828"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbae709","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae709","pdf_url":"https://academic.oup.com/bib/article-pdf/26/1/bbae709/61448313/bbae709.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/bib/article-pdf/26/1/bbae709/61448313/bbae709.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066472367","display_name":"Baiming Zou","orcid":"https://orcid.org/0000-0002-7879-9460"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baiming Zou","raw_affiliation_strings":["Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","School of Nursing, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,"],"raw_orcid":"https://orcid.org/0000-0002-7879-9460","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"School of Nursing, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018294391","display_name":"James G. Xenakis","orcid":"https://orcid.org/0000-0002-9307-9605"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James G Xenakis","raw_affiliation_strings":["Department of Statistics, Harvard University , Cambridge, MA 02138 ,"],"raw_orcid":"https://orcid.org/0000-0002-9307-9605","affiliations":[{"raw_affiliation_string":"Department of Statistics, Harvard University , Cambridge, MA 02138 ,","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086933908","display_name":"Mei\u2010Sheng Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meisheng Xiao","raw_affiliation_strings":["Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,"],"raw_orcid":"https://orcid.org/0009-0000-2164-4794","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022086568","display_name":"Apoena Aguiar Ribeiro","orcid":"https://orcid.org/0000-0001-7702-6178"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Apoena Ribeiro","raw_affiliation_strings":["School of Dentistry, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,"],"raw_orcid":"https://orcid.org/0000-0001-7702-6178","affiliations":[{"raw_affiliation_string":"School of Dentistry, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075626027","display_name":"Kimon Divaris","orcid":"https://orcid.org/0000-0003-1290-7251"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kimon Divaris","raw_affiliation_strings":["School of Dentistry, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,"],"raw_orcid":"https://orcid.org/0000-0003-1290-7251","affiliations":[{"raw_affiliation_string":"School of Dentistry, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101454129","display_name":"Di Wu","orcid":"https://orcid.org/0000-0001-8331-2357"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","School of Dentistry, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,"],"raw_orcid":"https://orcid.org/0000-0001-8331-2357","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"School of Dentistry, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782494","display_name":"Fei Zou","orcid":"https://orcid.org/0000-0002-6637-3593"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Zou","raw_affiliation_strings":["Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","Department of Genetics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,"],"raw_orcid":"https://orcid.org/0000-0002-6637-3593","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Genetics, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599 ,","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":0.5557,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74115759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"26","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9933000206947327,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9933000206947327,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9911999702453613,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.7011698484420776},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6221287250518799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070832014083862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5936408042907715},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5492201447486877},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5249060392379761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.501990556716919},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4485611915588379},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20356014370918274},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10938256978988647},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09428349137306213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07008501887321472}],"concepts":[{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.7011698484420776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6221287250518799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070832014083862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5936408042907715},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5492201447486877},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5249060392379761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.501990556716919},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4485611915588379},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20356014370918274},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10938256978988647},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09428349137306213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07008501887321472},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":"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}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbae709","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae709","pdf_url":"https://academic.oup.com/bib/article-pdf/26/1/bbae709/61448313/bbae709.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:39815828","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39815828","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":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11735761","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11735761","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11735761/pdf/bbae709.pdf","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":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbae709","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae709","pdf_url":"https://academic.oup.com/bib/article-pdf/26/1/bbae709/61448313/bbae709.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3089498897","display_name":null,"funder_award_id":"R01 HL173044","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G4332970079","display_name":null,"funder_award_id":"R01 LM014407","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6990485190","display_name":null,"funder_award_id":"R56 LM013784","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406478860.pdf","grobid_xml":"https://content.openalex.org/works/W4406478860.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1994458586","https://openalex.org/W2018051938","https://openalex.org/W2042295984","https://openalex.org/W2075894130","https://openalex.org/W2106479432","https://openalex.org/W2120240539","https://openalex.org/W2135046866","https://openalex.org/W2135293965","https://openalex.org/W2139962100","https://openalex.org/W2157107389","https://openalex.org/W2158135731","https://openalex.org/W2160111786","https://openalex.org/W2345658906","https://openalex.org/W2494737845","https://openalex.org/W2522613152","https://openalex.org/W2611138580","https://openalex.org/W2632424531","https://openalex.org/W2725921700","https://openalex.org/W2731485904","https://openalex.org/W2801072950","https://openalex.org/W2888037512","https://openalex.org/W2893428834","https://openalex.org/W2898140240","https://openalex.org/W2909919296","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2952342008","https://openalex.org/W2998602919","https://openalex.org/W3000306621","https://openalex.org/W3003606673","https://openalex.org/W3008013974","https://openalex.org/W3022810381","https://openalex.org/W3033069952","https://openalex.org/W3047934413","https://openalex.org/W3093238529","https://openalex.org/W3132461044","https://openalex.org/W3137962378","https://openalex.org/W3160801315","https://openalex.org/W3170986249","https://openalex.org/W3193608663","https://openalex.org/W3204386957","https://openalex.org/W4212883601","https://openalex.org/W4229033953","https://openalex.org/W4231109964","https://openalex.org/W4283016508","https://openalex.org/W4366823000","https://openalex.org/W4375955768","https://openalex.org/W4377291566","https://openalex.org/W4388820050","https://openalex.org/W4391618879"],"related_works":["https://openalex.org/W2978999882","https://openalex.org/W3141031773","https://openalex.org/W1595686156","https://openalex.org/W4375867731","https://openalex.org/W2181392282","https://openalex.org/W2119369480","https://openalex.org/W148937441","https://openalex.org/W2048777860","https://openalex.org/W2153369162","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Many":[0],"human":[1],"diseases":[2],"result":[3],"from":[4,64],"a":[5,89,120],"complex":[6,68,102],"interplay":[7],"of":[8],"behavioral,":[9],"clinical,":[10],"and":[11,17,30,46,57,66,96,106,119,146],"molecular":[12,22],"factors.":[13],"Integrating":[14],"low-dimensional":[15],"behavioral":[16],"clinical":[18],"features":[19,56,145],"with":[20,130],"high-dimensional":[21,152],"profiles":[23],"can":[24],"significantly":[25],"improve":[26],"disease":[27,48,107],"outcome":[28],"prediction":[29,44,148],"diagnosis.":[31],"However,":[32],"while":[33],"some":[34],"biomarkers":[35,105],"are":[36],"crucial,":[37],"many":[38],"lack":[39],"informative":[40],"value.":[41],"To":[42,70],"enhance":[43],"accuracy":[45],"understand":[47],"mechanisms,":[49],"it":[50],"is":[51],"essential":[52],"to":[53,100],"integrate":[54],"relevant":[55],"identify":[58],"key":[59],"biomarkers,":[60],"separating":[61],"meaningful":[62],"data":[63],"noise":[65],"modeling":[67],"associations.":[69],"address":[71],"these":[72],"challenges,":[73],"we":[74],"introduce":[75],"the":[76],"High-dimensional":[77],"Feature":[78],"Importance":[79],"Test":[80],"(HdFIT)":[81],"framework":[82,138],"for":[83,93],"machine":[84,98],"learning":[85,99],"models.":[86],"HdFIT":[87],"includes":[88],"feature":[90],"screening":[91],"step":[92],"dimension":[94],"reduction":[95],"leverages":[97],"model":[101],"associations":[103],"between":[104],"outcomes.":[108],"It":[109],"robustly":[110],"evaluates":[111],"each":[112],"feature's":[113],"impact.":[114],"Extensive":[115],"Monte":[116],"Carlo":[117],"experiments":[118],"real":[121],"microbiome":[122],"study":[123],"demonstrate":[124],"HdFIT's":[125],"efficacy,":[126],"especially":[127],"when":[128],"integrated":[129],"advanced":[131],"models":[132],"like":[133],"deep":[134],"neural":[135],"networks.":[136],"Our":[137],"shows":[139],"significant":[140],"improvements":[141],"in":[142,151],"identifying":[143],"crucial":[144],"enhancing":[147],"accuracy,":[149],"even":[150],"settings.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}