Pal Research Group:
DRUG SENSITIVITY PREDICTION AND CONTROL OF
Individualized cancer treatment that targets the specific malfunctioning
genetic pathway of the patient holds promise to drastically increase the
success rate of cancer therapy. Our goal is to build predictive models of genetic regulatory networks and control them to achieve a desirable state.
Some specific research topics:
GENETIC REGULATORY NETWORK ROBUSTNESS ANALYSIS
The article on
IEEE Signal Processing Magazine provides a concise overview of our
research on robustness in genetic regulatory network modeling and
- Studying the effect of coarse-scale modeling
Vol. 58, Pg.
2010 . IEEE SPM Vol. 29, No. 1, Pg. 66-76, 2012
PATTERN ANALYSIS OF FMRI DATA
A primary goal of the analysis of fMRI data is to locate areas of brain activation that can differentiate various cognitive and sensory tasks.
We are using advanced multivariate tools for differentiating cognitive tasks based on their BOLD activation patterns.