Arvind Rao

SHADE models directional spatial associations in tissue microenvironments using a Bayesian framework, revealing biologically meaningful differences in immune and stromal organization in colorectal cancer.

STING uses graph neural networks to predict spatial gene expression from histological images, achieving high accuracy in spatial transcriptomics inference.

DDAP predicts biosynthetic pathways of type I PKS by improving module docking domain ordering and affinity prediction, achieving AUC 0.88 and MRR 0.67.