TransferTWAS: A transfer learning framework for cross-tissue transcriptome-wide association study
Year: 2025
Type: article
Authors: Daoyuan Lai, Han Wang, Tian Gu, Siqi Wu, Dajiang J. Liu, Pak Chung Sham, Yan Dora Zhang
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: bronze
Funders: Research Grants Council, University Grants Committee, National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health, National Institute on Drug Abuse, National Human Genome Research Institute, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Neurological Disorders and Stroke
Awards: Integrative approaches to understand systemic lupus erythematosus etiology in trans-ancestry genetic studies, Integrating heterogenous data to enhance gene discovery power in transcriptome-wide association studies, Methods and tools to integrate multi-omics datasets to understand preclinical autoimmune and immune-mediated diseases, Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis
OpenAlex ID: W4411918067