TransferTWAS: A transfer learning framework for cross-tissue transcriptome-wide association study.

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Bibliographic Details
Title: TransferTWAS: A transfer learning framework for cross-tissue transcriptome-wide association study.
Authors: Lai D; Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China., Wang H; College of Science, China Agricultural University, Beijing, China., Gu T; Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA., Wu S; Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China., Liu DJ; Institute for Personalized Medicine, College of Medicine, Pennsylvania State University, University Park, PA, USA., Sham PC; Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China., Zhang YD; Department of Statistics and Actuarial Science, School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China. Electronic address: doraz@hku.hk.
Source: American journal of human genetics [Am J Hum Genet] 2025 Aug 07; Vol. 112 (8), pp. 1936-1947. Date of Electronic Publication: 2025 Jun 30.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0370475 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1537-6605 (Electronic) Linking ISSN: 00029297 NLM ISO Abbreviation: Am J Hum Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1537-6605
DOI:10.1016/j.ajhg.2025.06.006