Sandeep Namburi

This paper uses CNNs to classify and compare histopathological images across cancer types, revealing conserved spatial patterns and mutation-related features.

ChIA-PIPE is a fully automated pipeline for analyzing and visualizing ChIA-PET data, including quality assessment and visualization tools.

The paper evaluates the robustness of mutation calling algorithms on tumor heterogeneity measures and finds limited clinical predictive power for MATH score.

This paper develops machine learning models to predict the primary site of origin and molecular subtype of metastatic cancers using gene expression data from TCGA, achieving high accuracy across multiple cancer types.