Vinay S. Swamy

GREmLN is a foundation model that uses graph structure to improve gene embeddings in single-cell transcriptomics, outperforming baselines in cell type annotation and perturbation prediction.

PLAE provides a web app for querying and visualizing over a million single-cell transcriptomes from vertebrate eyes and bodies across multiple species and tissues.

The paper develops a method to integrate single cell transcriptome data from multiple retinal datasets across species to create a comprehensive ocular meta-atlas.

The paper optimizes a short-read de novo transcriptome pipeline using long-read data to identify novel gene isoforms in eye samples and their relevance to development and disease.

The paper develops a database and web tool for querying gene expression in human eye and body tissues using RNA-seq data from GTEx and eye-related samples.