Understanding the genetic mechanisms linking genome variations, such as single-nucleotide polymorphisms (SNPs), to phenotypes ...

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

Abstract: Protein complex structural data are growing at an unprecedented pace, but its complexity and diversity pose significant challenges for protein function research. Although deep learning ...