Sudhir Varma

SCLC TumorMiner: A Genomics Platform for Small Cell Lung Cancer Precision Oncology

SCLC TumorMiner is a genomics platform that provides molecular classification, biomarker identification, and drug-response analysis for small cell lung cancer using integrated datasets from multiple institutions.

Bimodal genomic approach predicting Semaphorin 7A (SEMA7A) as prognostic biomarker in adrenocortical carcinoma

This paper identifies SEMA7A as a prognostic biomarker in adrenocortical carcinoma using transcriptome data from TCGA and NCI samples, showing its association with poor prognosis and specific signaling pathways.

Blind estimation and correction of microarray batch effect

This paper introduces BESC, a method to correct microarray batch effects without requiring known batch identities or removing true biological differences, using signatures from a reference set.

Rapid proteotyping reveals cancer biology and drug response determinants in the NCI-60 cells

This study rapidly generates proteomic data for NCI-60 cancer cell lines and identifies drug response determinants by integrating proteomic, genetic, and transcriptomic data.

Integrative analysis of pharmacogenomics in major cancer cell line databases using CellMinerCDB

CellMinerCDB integrates pharmacogenomic data from multiple cancer cell line databases to identify drug response determinants, reproducibility, and novel genomic signatures.