no code implementations • 25 Jan 2016 • Jack P. Hou, Amin Emad, Gregory J. Puleo, Jian Ma, Olgica Milenkovic
To test $C^3$, we performed a detailed analysis on TCGA breast cancer and glioblastoma data and showed that our algorithm outperforms the state-of-the-art CoMEt method in terms of discovering mutually exclusive gene modules and identifying driver genes.
no code implementations • 29 Oct 2018 • Cheng Qian, Nicholas D. Sidiropoulos, Magda Amiridi, Amin Emad
Predicting the response of cancer cells to drugs is an important problem in pharmacogenomics.
no code implementations • 27 Jul 2019 • Cheng Qian, Amin Emad, Nicholas D. Sidiropoulos
Time-course gene expression data is a rich source of information that can be used to unravel these complex processes, identify biomarkers of drug sensitivity and predict the response to a drug.