{"id":"https://openalex.org/W2795487731","doi":"https://doi.org/10.1093/bioinformatics/bty250","title":"Personalized regression enables sample-specific pan-cancer analysis","display_name":"Personalized regression enables sample-specific pan-cancer analysis","publication_year":2018,"publication_date":"2018-04-23","ids":{"openalex":"https://openalex.org/W2795487731","doi":"https://doi.org/10.1093/bioinformatics/bty250","mag":"2795487731","pmid":"https://pubmed.ncbi.nlm.nih.gov/29949997"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bty250","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty250","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/34/13/i178/25098436/bty250.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/34/13/i178/25098436/bty250.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068931679","display_name":"Benjamin J. Lengerich","orcid":"https://orcid.org/0000-0001-8690-9554"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin J Lengerich","raw_affiliation_strings":["Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047970850","display_name":"Bryon Aragam","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryon Aragam","raw_affiliation_strings":["Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009547049","display_name":"Eric P. Xing","orcid":"https://orcid.org/0009-0005-9158-4201"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric P Xing","raw_affiliation_strings":["Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA","Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA","Petuum, Inc., Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Petuum, Inc., Pittsburgh, PA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009547049"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":{"value":3618,"currency":"USD","value_usd":3618},"fwci":0.7218,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.69045969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"13","first_page":"i178","last_page":"i186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.30160000920295715,"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":0.30160000920295715,"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":0.22579999268054962,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.16179999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/personalized-medicine","display_name":"Personalized medicine","score":0.6840851306915283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6823170185089111},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6003620028495789},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5165823698043823},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.49656540155410767},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.47007399797439575},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4571499824523926},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45010021328926086},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4442087411880493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4420027434825897},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4402283728122711},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4325686991214752},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.42768287658691406},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42418602108955383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4188621938228607},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4101417660713196},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24317878484725952},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.22128146886825562},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15522083640098572},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14584913849830627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13188785314559937},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.11852985620498657}],"concepts":[{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.6840851306915283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823170185089111},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6003620028495789},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5165823698043823},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49656540155410767},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.47007399797439575},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4571499824523926},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45010021328926086},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4442087411880493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4420027434825897},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4402283728122711},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4325686991214752},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42768287658691406},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42418602108955383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4188621938228607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4101417660713196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24317878484725952},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.22128146886825562},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15522083640098572},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14584913849830627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13188785314559937},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.11852985620498657},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[{"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009154","descriptor_name":"Mutation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009154","descriptor_name":"Mutation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009154","descriptor_name":"Mutation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/bty250","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty250","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/34/13/i178/25098436/bty250.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29949997","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29949997","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:europepmc.org:4991106","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6022603","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/bty250","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty250","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/34/13/i178/25098436/bty250.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4545382138","display_name":null,"funder_award_id":"R01 GM114311","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G8288036582","display_name":null,"funder_award_id":"NIH R01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8726103037","display_name":null,"funder_award_id":"R01 GM114311-02","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795487731.pdf","grobid_xml":"https://content.openalex.org/works/W2795487731.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W74841586","https://openalex.org/W1883655199","https://openalex.org/W1970698820","https://openalex.org/W1987012261","https://openalex.org/W2015182193","https://openalex.org/W2033751993","https://openalex.org/W2043409879","https://openalex.org/W2069399470","https://openalex.org/W2086680598","https://openalex.org/W2101651692","https://openalex.org/W2118151336","https://openalex.org/W2147851100","https://openalex.org/W2158306357","https://openalex.org/W2158485828","https://openalex.org/W2160193995","https://openalex.org/W2202191676","https://openalex.org/W2306311493","https://openalex.org/W2355331893","https://openalex.org/W2508622936","https://openalex.org/W2509991828","https://openalex.org/W2541931197","https://openalex.org/W2559466477","https://openalex.org/W2784057214","https://openalex.org/W2963741805","https://openalex.org/W2964234453","https://openalex.org/W6683293029","https://openalex.org/W6698490970"],"related_works":["https://openalex.org/W3082935376","https://openalex.org/W3193951088","https://openalex.org/W4322484660","https://openalex.org/W4386960999","https://openalex.org/W2899657781","https://openalex.org/W2770866531","https://openalex.org/W4388011470","https://openalex.org/W4230423494","https://openalex.org/W4298001029","https://openalex.org/W4383105306"],"abstract_inverted_index":{"Motivation:":[0],"In":[1,78],"many":[2,52],"applications,":[3],"inter-sample":[4,75,98],"heterogeneity":[5,76],"is":[6,65,86,245],"crucial":[7],"to":[8,39,59,80,88,128,153,167,241],"understanding":[9],"the":[10,48,130,151,155],"complex":[11,222],"biological":[12],"processes":[13],"under":[14],"study.":[15],"For":[16],"example,":[17],"in":[18,25,70],"genomic":[19,56],"analysis":[20,57,203,220],"of":[21,47,157,191,221],"cancers,":[22],"each":[23],"patient":[24,83],"a":[26,30,61,71,102,173,214],"cohort":[27],"may":[28],"have":[29],"different":[31],"driver":[32],"mutation,":[33],"making":[34],"it":[35,85],"difficult":[36],"or":[37],"impossible":[38],"identify":[40],"causal":[41],"mutations":[42],"from":[43,180],"an":[44],"averaged":[45],"view":[46],"entire":[49],"cohort.":[50],"Unfortunately,":[51],"traditional":[53],"methods":[54],"for":[55,105,172,218,231],"seek":[58],"estimate":[60],"single":[62],"model":[63],"which":[64],"shared":[66],"by":[67,113,210],"all":[68],"samples":[69,179],"population,":[72],"ignoring":[73],"this":[74,97],"entirely.":[77],"order":[79],"better":[81],"understand":[82],"heterogeneity,":[84,99],"necessary":[87],"develop":[89],"practical,":[90],"personalized":[91,108,120,232,235],"statistical":[92],"models.":[93],"Results:":[94],"To":[95],"uncover":[96],"we":[100,138,149,163],"propose":[101],"novel":[103],"regularizer":[104,111],"achieving":[106],"patient-specific":[107],"estimation.":[109],"This":[110],"operates":[112],"learning":[114],"two":[115],"latent":[116,159],"distance":[117,143,160],"metrics-one":[118],"between":[119,124,194,200],"parameters":[121],"and":[122,187,228,234],"one":[123],"clinical":[125],"covariates-and":[126],"attempting":[127],"match":[129],"induced":[131],"distances":[132],"as":[133,135,197,199,225],"closely":[134],"possible.":[136],"Crucially,":[137],"do":[139],"not":[140],"assume":[141],"these":[142,158],"metrics":[144],"are":[145,208],"already":[146],"known.":[147],"Instead,":[148],"allow":[150],"data":[152],"dictate":[154],"structure":[156],"metrics.":[161],"Finally,":[162],"apply":[164],"our":[165],"method":[166],"learn":[168],"patient-specific,":[169],"interpretable":[170],"models":[171],"pan-cancer":[174],"gene":[175],"expression":[176],"dataset":[177],"containing":[178],"more":[181],"than":[182],"30":[183],"distinct":[184],"cancer":[185,195],"types":[186,196],"find":[188],"strong":[189],"evidence":[190],"personalization":[192],"effects":[193],"well":[198],"individuals.":[201],"Our":[202],"uncovers":[204],"sample-specific":[205],"aberrations":[206],"that":[207],"overlooked":[209],"population-level":[211],"methods,":[212],"suggesting":[213],"promising":[215],"new":[216],"path":[217],"precision":[219],"diseases":[223],"such":[224],"cancer.":[226],"Availability":[227],"implementation:":[229],"Software":[230],"linear":[233],"logistic":[236],"regression,":[237],"along":[238],"with":[239],"code":[240],"reproduce":[242],"experimental":[243],"results,":[244],"freely":[246],"available":[247],"at":[248],"github.com/blengerich/personalized_regression.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
