Rezwan Hosseini

This paper introduces SAGE-net, a framework for training sequence-to-function models using personal genomes, showing improved gene expression prediction but limited generalization, while DNA methylation shows better generalization.

The paper introduces motifDiff, a tool for variant effect prediction using biophysical TF binding models, showing it effectively scores variants and provides insights into human accelerated regions.