Pal Research Group:

Research Areas

DRUG SENSITIVITY PREDICTION AND CONTROL OF CANCEROUS CELLS
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 control (pdf).  

 

  • Studying the effect of coarse-scale modeling

        

        Representative Publications:  IEEE TSP, Vol. 58, Pg. 3341 - 3351, No.6, 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.

 Funding