{"id":"https://openalex.org/W3136099372","doi":"https://doi.org/10.1080/10618600.2022.2039161","title":"A Scalable Hierarchical Lasso for Gene\u2013Environment Interactions","display_name":"A Scalable Hierarchical Lasso for Gene\u2013Environment Interactions","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W3136099372","doi":"https://doi.org/10.1080/10618600.2022.2039161","mag":"3136099372","pmid":"https://pubmed.ncbi.nlm.nih.gov/36793591"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2022.2039161","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2022.2039161","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.13510","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058928042","display_name":"Natalia Zemlianskaia","orcid":"https://orcid.org/0000-0002-9976-0784"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalia Zemlianskaia","raw_affiliation_strings":["Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA"],"raw_orcid":"https://orcid.org/0000-0002-9976-0784","affiliations":[{"raw_affiliation_string":"Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113865889","display_name":"W. James Gauderman","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. James Gauderman","raw_affiliation_strings":["Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047860888","display_name":"Juan Pablo Lewinger","orcid":"https://orcid.org/0000-0002-0692-2570"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Pablo Lewinger","raw_affiliation_strings":["Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.6846,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70677611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"4","first_page":"1091","last_page":"1103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9904000163078308,"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/scalability","display_name":"Scalability","score":0.772087574005127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7233625054359436},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6613062620162964},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6543464064598083},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.618018627166748},{"id":"https://openalex.org/keywords/gene-selection","display_name":"Gene selection","score":0.602479875087738},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4854167401790619},{"id":"https://openalex.org/keywords/multilevel-model","display_name":"Multilevel model","score":0.45286956429481506},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4365481734275818},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41006308794021606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3945314884185791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3603195548057556},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.13766056299209595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12393361330032349},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09459635615348816},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09143048524856567}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.772087574005127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233625054359436},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6613062620162964},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6543464064598083},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.618018627166748},{"id":"https://openalex.org/C2984324147","wikidata":"https://www.wikidata.org/wiki/Q3080021","display_name":"Gene selection","level":5,"score":0.602479875087738},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4854167401790619},{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.45286956429481506},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4365481734275818},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41006308794021606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3945314884185791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3603195548057556},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.13766056299209595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12393361330032349},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09459635615348816},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09143048524856567},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/10618600.2022.2039161","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2022.2039161","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},{"id":"pmid:36793591","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36793591","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":"Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2103.13510","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13510","pdf_url":"https://arxiv.org/pdf/2103.13510","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9928188","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9928188","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Comput Graph Stat","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.13510","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.13510","pdf_url":"https://arxiv.org/pdf/2103.13510","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1480891745","display_name":null,"funder_award_id":"T32-ES013678","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G456587603","display_name":null,"funder_award_id":"R01CA201407","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G5229491074","display_name":null,"funder_award_id":"P01 CA196569","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G6905789690","display_name":null,"funder_award_id":"R01CA201407","funder_id":"https://openalex.org/F4320312169","funder_display_name":"National Computational Infrastructure"}],"funders":[{"id":"https://openalex.org/F4320312169","display_name":"National Computational Infrastructure","ror":"https://ror.org/04yx6dh41"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337361","display_name":"National Institute of Environmental Health Sciences","ror":"https://ror.org/00j4k1h63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1540764732","https://openalex.org/W1543911290","https://openalex.org/W1748889858","https://openalex.org/W1860923284","https://openalex.org/W1994309289","https://openalex.org/W2001414552","https://openalex.org/W2034577150","https://openalex.org/W2037559873","https://openalex.org/W2045814034","https://openalex.org/W2054000500","https://openalex.org/W2056636001","https://openalex.org/W2097360283","https://openalex.org/W2101432452","https://openalex.org/W2109946581","https://openalex.org/W2116974465","https://openalex.org/W2121091193","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2149590321","https://openalex.org/W2160068277","https://openalex.org/W2164278908","https://openalex.org/W2165766480","https://openalex.org/W2181479485","https://openalex.org/W2231059058","https://openalex.org/W2339398872","https://openalex.org/W2554645567","https://openalex.org/W2604483902","https://openalex.org/W2765625348","https://openalex.org/W2896125719","https://openalex.org/W2897077187","https://openalex.org/W2944653470","https://openalex.org/W2963319429","https://openalex.org/W2969879921","https://openalex.org/W2988388473","https://openalex.org/W3002904048","https://openalex.org/W3093838039","https://openalex.org/W3098745759","https://openalex.org/W3099503819","https://openalex.org/W3102129059","https://openalex.org/W3102650760","https://openalex.org/W4232605254","https://openalex.org/W4247545505","https://openalex.org/W4292363360","https://openalex.org/W4294541781","https://openalex.org/W4300871167","https://openalex.org/W4301013421","https://openalex.org/W4302563578","https://openalex.org/W4385738287","https://openalex.org/W4399582985","https://openalex.org/W6689777920","https://openalex.org/W6755314242"],"related_works":["https://openalex.org/W4256576576","https://openalex.org/W3090384609","https://openalex.org/W3194013178","https://openalex.org/W4249086404","https://openalex.org/W4236464082","https://openalex.org/W2790019364","https://openalex.org/W2212119398","https://openalex.org/W3015383640","https://openalex.org/W1997354144","https://openalex.org/W4393143031"],"abstract_inverted_index":{"We":[0,27,47],"describe":[1],"a":[2,17,23,73],"regularized":[3],"regression":[4],"model":[5,14,54],"for":[6,60],"the":[7,53,82],"selection":[8,58,66],"of":[9,41,65],"gene-environment":[10],"(G\u00d7E)":[11,61],"interactions.":[12],"The":[13],"focuses":[15],"on":[16],"single":[18],"environmental":[19],"exposure":[20],"and":[21,33,69,71],"induces":[22],"main-effect-before-interaction":[24],"hierarchical":[25],"structure.":[26],"propose":[28],"an":[29],"efficient":[30],"fitting":[31],"algorithm":[32],"screening":[34],"rules":[35],"that":[36,52],"can":[37],"discard":[38],"large":[39],"numbers":[40],"irrelevant":[42],"predictors":[43],"with":[44],"high":[45],"accuracy.":[46],"present":[48],"simulation":[49],"results":[50],"showing":[51],"outperforms":[55],"existing":[56],"joint":[57],"methods":[59],"interactions":[62],"in":[63,81],"terms":[64],"performance,":[67],"scalability":[68],"speed,":[70],"provide":[72],"real":[74],"data":[75],"application.":[76],"Our":[77],"implementation":[78],"is":[79],"available":[80],"gesso":[83],"R":[84],"package.":[85]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}