Aditya Parekh

This paper introduces Sceodesic, a method that improves cell phenotype estimation from scRNA-seq by analyzing local gene coexpression patterns using Riemannian geometry, outperforming existing approaches in prediction and biological interpretation.

The paper introduces KolossuS, a deep learning framework for kinase-substrate prediction, integrated with CRISPR-based proximity proteomics to identify kinase substrates in vivo, including novel substrates associated with sleep deprivation.

The paper identifies spatially regionalized mRNA expression in Drosophila melanogaster flight muscle syncytia, revealing non-uniform protein requirements along their length.