V. B. Surya Prasath

LungChat is a conversational multi-agent AI system that integrates multi-omics analysis and biomedical discovery, identifying potential therapeutics for pulmonary diseases.

maxATAC provides deep learning models for predicting transcription factor binding sites from ATAC-seq data, improving prediction in primary and single-cell contexts.

scTriangulate identifies high-confidence cell populations and modality-specific subtypes by combining clustering results from uni- and multimodal single-cell data using a game-theory framework.

The paper describes the LungMAP Portal Ecosystem, a centralized resource integrating multi-omics and imaging data across species to enable standardized analysis of lung biology and disease.

CellDrift identifies temporally varied perturbation patterns in single-cell data by analyzing covarying gene expression across time, outperforming existing methods in imputation and pattern detection.

DeepImmuno predicts and generates immunogenic peptides using deep learning models, outperforming existing methods and providing insights into T cell antigen recognition.