Alex M. Tseng

The paper introduces Decima, a model that predicts cell type- and condition-specific gene expression from DNA sequence using single-cell RNA sequencing data.

Nona is a multimodal masking framework that unifies sequence-to-function models, language models, and generative models for functional genomics, improving predictions and revealing privacy vulnerabilities in ATAC-seq data.

This study uses deep mutational scanning to analyze GPCR variants, identifying key residues for signaling and function across multiple GPCR classes.

The paper identifies transcriptional networks in developing mouse projection neurons by correlating chromatin accessibility with gene expression to understand cell fate diversity.

This paper introduces a Fourier-transform-based attribution prior to improve deep learning model stability, interpretability, and performance in genomics tasks.