Raunak Shrestha

The paper identifies population-associated differences in chromatin regulation in prostate cancer, linking reduced CTCF accessibility to aggressive tumor biology in Black men.

This study uses CRISPR screens to identify PTGES3 as a novel modulator of AR protein levels and function in prostate cancer, showing its role in therapy resistance.

This study identifies a gastrointestinal gene expression phenotype in metastatic castration-resistant prostate cancer that correlates with reduced response to androgen receptor inhibitors.

This paper introduces CONETT, a method to identify conserved tumor evolution trajectories across multiple cancers, finding both previously reported and novel trajectories in renal and lung cancer datasets.

The paper introduces cd-CAP, a method to detect conserved alteration patterns in cancer subnetworks across tumor samples.

This study introduces DGS, a method combining denoising autoencoders and transfer learning to predict prostate cancer metastasis using both labelled and unlabelled gene expression data, achieving higher accuracy than existing signatures.

The paper analyzes non-coding mutations across 2,583 cancer genomes to identify genes and pathways affected, finding clusters of interacting proteins and insights into cancer mechanisms.