A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data
{{output}}
Transfer learning aims to integrate useful information from multi-source datasets to improve the learning performance of target data. This can be effectively applied in genomics when we learn the gene associations in a target tissue, and data from other tissue... ...
