Yeping Lina Qiu

This paper proposes a meta-learning framework for genomic survival analysis, showing it outperforms transfer learning with fewer samples and identifies important genes and pathways in cancer.

This paper introduces a deep learning framework called DAPL for imputing missing values in genomic data, showing improved performance and reduced computational cost compared to traditional methods.