Venkata SK. Manem

The paper identifies genetic links between impaired pulmonary function and increased lung cancer risk, showing causal relationships through Mendelian randomization and highlighting immune-related pathways.

This study develops RadioGx, a computational platform to analyze radioresponse in radiogenomic databases, identifying molecular pathways and drug correlations with radiation response.

RadiationGeneSigDB curates gene expression signatures for oxic and hypoxic radiation responses and demonstrates their utility in identifying hypoxia-regulated microRNAs across cancer types.

MetaGxData provides standardized cancer transcriptomic and clinical data for cross-tumour analyses, identifying common prognostic genes and creating a multi-cancer gene signature.

This study examines tissue-specific drug sensitivity in in vitro datasets and finds strong associations between tissue origin and drug response, but most preclinical findings do not align with clinical observations.

This paper introduces SIGN, a method for phenotype classification using gene expression patterns, showing it can classify cancer subtypes, identify cell types, and classify drugs based on mechanism of action.

CrosstalkNet is a web-based tool for visualizing and analyzing large-scale bipartite co-expression networks to study tumor-stromal cell interactions.