Malvika Sudhakar

iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data
Multi-omic data improve prediction of personalized tumor suppressors and oncogenes
Novel ratio-metric features enable the identification of new driver genes across cancer types
Mycobacterium tuberculosis (Mtb) lipid–mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival
Machine Learning Applications for Mass Spectrometry-Based Metabolomics