Chitrasen Mohanty

This paper introduces KM-GPT-DCH, a method using LLMs and Bayesian analysis to evaluate and compare biomedical hypotheses by analyzing scientific literature.

SKiM-GPT evaluates biomedical hypotheses by combining literature-based discovery with large language models to assess hypothesis validity using retrieved PubMed abstracts.

CASSIA automates and improves cell type annotation in single-cell RNA-sequencing data with interpretability and accuracy.

This study shows BET inhibition reduces E6 and E7 expression in HPV-16 HNSCC, with variable effects on p53 and Rb, and induces G1 arrest and apoptosis.

SpatialView is an interactive web tool for visualizing multiple spatial transcriptomics experiments, enhancing data exploration and analysis.

SpatialCorr identifies gene sets with spatially varying correlation structure in spatial transcriptomics data, revealing insights not found with existing methods.

The paper introduces Dino, a normalization method for single-cell RNA-seq data that improves downstream analysis by normalizing the entire gene expression distribution.