Darshan Shimoga Chandrashekar

UALCAN Mobile, an app for cancer proteogenomic data analysis.

UALCAN Mobile provides cancer proteogenomic data analysis through an app, enabling users to explore gene, protein, and epigenetic changes across multiple cancer types and stratifications.

Azurify integrates cancer genomics with machine learning to classify the clinical significance of somatic variants

Azurify classifies somatic variants' clinical significance using machine learning and integrates with clinical data, achieving high accuracy in external validation.

Comparative transcriptome analyses reveal genes associated with SARS-CoV-2 infection of human lung epithelial cells

The paper compares transcriptome data from SARS-CoV-2 and other respiratory virus infections in human lung epithelial cells to identify genes and pathways associated with SARS-CoV-2 infection.

Listing candidate diagnostic markers and exploring the molecular basis of human spermatogenesis and a type of male infertility (Non-Obstructive Azoospermia), with transcriptomics via the next generation sequencing methods

The paper identifies 100+ genes associated with NOA and spermatogenesis through transcriptomics and shortlists 20 RNA molecules for diagnostic applications.