Deena M.A. Gendoo

This paper develops an organotypic HNSCC model that captures epithelial-stromal complexity and identifies matrix-derived signals as therapeutic targets.

This study identifies FEN1 as a driver of glioblastoma stem cell survival and temozolomide resistance, showing FEN1 inhibition can enhance TMZ efficacy in aggressive tumors.

The paper identifies a 101-biomarker signature predicting radiotherapy response in colorectal cancer using multi-omics and supervised learning, achieving 89% accuracy.

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

The paper compares whole-genome data from primary pancreatic cancer, xenografts, and organoids to assess genetic concordance across different models.

This paper introduces DNF, a computational framework that classifies new drugs by integrating structural, perturbation, and sensitivity data to infer drug relationships and taxonomies.