{"id":"https://openalex.org/W7204169279","doi":"https://doi.org/10.1093/bioadv/vbag234","title":"survkl: an R package for transfer-learning-based integrated Cox models","display_name":"survkl: an R package for transfer-learning-based integrated Cox models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204169279","doi":"https://doi.org/10.1093/bioadv/vbag234","pmid":"https://pubmed.ncbi.nlm.nih.gov/42677333"},"language":"en","primary_location":{"id":"doi:10.1093/bioadv/vbag234","doi":"https://doi.org/10.1093/bioadv/vbag234","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioadv/vbag234","pdf_url":"https://academic.oup.com/bioinformaticsadvances/advance-article-pdf/doi/10.1093/bioadv/vbag234/70784381/vbag234.pdf","source":{"id":"https://openalex.org/S4210234069","display_name":"Bioinformatics Advances","issn_l":"2635-0041","issn":["2635-0041"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1"],"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":"Bioinformatics Advances","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/bioinformaticsadvances/advance-article-pdf/doi/10.1093/bioadv/vbag234/70784381/vbag234.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5144632588","display_name":"Yubo Shao","orcid":"https://orcid.org/0009-0009-2646-9193","observed_orcids":["https://orcid.org/0009-0009-2646-9193"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yubo Shao","raw_affiliation_strings":["Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,"],"raw_orcid":"https://orcid.org/0009-0009-2646-9193","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101715436","display_name":"Lingfeng Luo","orcid":"https://orcid.org/0000-0002-7592-4748","observed_orcids":["https://orcid.org/0000-0002-7592-4748"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingfeng Luo","raw_affiliation_strings":["Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,"],"raw_orcid":"https://orcid.org/0000-0002-7592-4748","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758655","display_name":"Xiaohan Liu","orcid":"https://orcid.org/0000-0002-0009-1008","observed_orcids":["https://orcid.org/0000-0002-0009-1008","https://orcid.org/0009-0007-7005-3326"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohan Liu","raw_affiliation_strings":["Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146660182","display_name":"Junyi Qiu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyi Qiu","raw_affiliation_strings":["Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148066790","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-4648-1033","observed_orcids":["https://orcid.org/0000-0003-4648-1033"]},"institutions":[{"id":"https://openalex.org/I204308271","display_name":"Medical College of Wisconsin","ror":"https://ror.org/00qqv6244","country_code":"US","type":"education","lineage":["https://openalex.org/I204308271"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["Division of Biostatistics, Data Science Institute, Medical College of Wisconsin , Milwaukee, WI 53226,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Biostatistics, Data Science Institute, Medical College of Wisconsin , Milwaukee, WI 53226,","institution_ids":["https://openalex.org/I204308271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062372145","display_name":"Kevin He","orcid":"https://orcid.org/0000-0002-8354-426X","observed_orcids":["https://orcid.org/0000-0002-8354-426X"]},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kevin He","raw_affiliation_strings":["Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,"],"raw_orcid":"https://orcid.org/0000-0002-8354-426X","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Michigan School of Public Health , Ann Arbor, MI 48109,","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062372145"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":{"value":2726,"currency":"USD","value_usd":2726},"apc_paid":{"value":2726,"currency":"USD","value_usd":2726},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7121736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":"vbag234","last_page":"vbag234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9887999892234802,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9887999892234802,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.0020000000949949026,"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/T10885","display_name":"Gene expression and cancer classification","score":0.00139999995008111,"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/survival-analysis","display_name":"survival analysis","score":0.6359999775886536},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.8339999914169312},{"id":"https://openalex.org/keywords/prognostic-model","display_name":"prognostic model","score":0.7670000195503235},{"id":"https://openalex.org/keywords/survival-risk-prediction","display_name":"survival risk prediction","score":0.7680000066757202},{"id":"https://openalex.org/keywords/high-dimensional-survival-data","display_name":"high-dimensional survival data","score":0.7310000061988831},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.4819999933242798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930999755859375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.629800021648407},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6255000233650208},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5412999987602234},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.47119998931884766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C174183944","wikidata":"https://www.wikidata.org/wiki/Q334661","display_name":"MIT License","level":3,"score":0.3684999942779541},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29989999532699585},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C3020440742","wikidata":"https://www.wikidata.org/wiki/Q1176855","display_name":"Software package","level":3,"score":0.2637999951839447},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C2984968299","wikidata":"https://www.wikidata.org/wiki/Q1077784","display_name":"Software tool","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1093/bioadv/vbag234","doi":"https://doi.org/10.1093/bioadv/vbag234","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioadv/vbag234","pdf_url":"https://academic.oup.com/bioinformaticsadvances/advance-article-pdf/doi/10.1093/bioadv/vbag234/70784381/vbag234.pdf","source":{"id":"https://openalex.org/S4210234069","display_name":"Bioinformatics Advances","issn_l":"2635-0041","issn":["2635-0041"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1"],"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":"Bioinformatics Advances","raw_type":"journal-article"},{"id":"pmid:42677333","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42677333","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,"listed_in":[],"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 advances","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13528772","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13528772/","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinform Adv","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bioadv/vbag234","doi":"https://doi.org/10.1093/bioadv/vbag234","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioadv/vbag234","pdf_url":"https://academic.oup.com/bioinformaticsadvances/advance-article-pdf/doi/10.1093/bioadv/vbag234/70784381/vbag234.pdf","source":{"id":"https://openalex.org/S4210234069","display_name":"Bioinformatics Advances","issn_l":"2635-0041","issn":["2635-0041"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1"],"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":"Bioinformatics Advances","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5646101236343384}],"study_designs":[],"awards":[{"id":"https://openalex.org/G9000196513","display_name":null,"funder_award_id":"R01 DK129539","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204169279.pdf","grobid_xml":"https://content.openalex.org/works/W7204169279.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Summary:":[0],"Survival":[1],"risk":[2],"prediction":[3],"often":[4],"suffers":[5],"from":[6],"challenges":[7],"such":[8],"as":[9],"rare":[10],"event":[11],"rates,":[12],"small":[13],"effective":[14],"sample":[15],"sizes,":[16],"high-dimensional":[17,93],"feature":[18],"spaces,":[19],"weak":[20],"signals,":[21],"population":[22],"heterogeneity,":[23],"and":[24,33,62,81,92,98,103,114,121,132],"concerns":[25],"over":[26],"patient":[27],"privacy.":[28],"To":[29],"overcome":[30],"these":[31],"obstacles":[32],"improve":[34],"the":[35,42,47,72,128],"precision":[36],"of":[37,49],"prognostic":[38],"modeling,":[39],"we":[40],"introduce":[41],"survkl":[43,108,123],"software,":[44],"which":[45],"enables":[46],"incorporation":[48],"external":[50,76],"summary-level":[51],"information":[52,80],"with":[53],"newly":[54],"collected":[55],"time-to-event":[56],"data":[57],"to":[58,75,127],"support":[59],"more":[60,83],"robust":[61],"accurate":[63],"predictions":[64],"in":[65],"survival":[66],"analysis.":[67],"Our":[68],"method":[69],"adaptively":[70],"adjusts":[71],"weight":[73],"given":[74],"information,":[77],"down-weighting":[78],"heterogeneous":[79],"highlighting":[82],"informative":[84],"ones.":[85],"The":[86,107],"proposed":[87],"tool":[88],"accommodates":[89],"both":[90],"low-dimensional":[91],"data,":[94],"offering":[95],"unpenalized":[96],"estimation":[97],"computationally":[99],"efficient":[100],"lasso,":[101],"ridge,":[102],"elastic":[104],"net":[105],"penalties.":[106],"software":[109],"also":[110],"provides":[111],"auxiliary":[112],"evaluation":[113],"plotting":[115],"functions":[116],"for":[117],"model":[118],"assessment.":[119],"Availability":[120],"implementation:":[122],"is":[124],"freely":[125],"available":[126],"public":[129],"at":[130],"https://github.com/UM-KevinHe/survkl":[131],"published":[133],"under":[134],"General":[135],"Public":[136],"License":[137],"version":[138],"3":[139],"license.":[140]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2026-08-26T00:00:00"}