0000-0003-2329-8228 About
My research is on developing new methods to analyze high-throughput biological datasets. I have developed several tools and techniques to analyze large collections of microarray datasets. I have made specific biological predictions and then validated them in collaborations with several biologists at Stanford. Some of my tools that analyze gene expression datasets are StepMiner, BooleanNet and MiDReG .
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Catestatin ameliorates tauopathy and amyloidogenesis via adrenergic inhibition Save
- Data from Genome-Wide Association Study of Pregnancy in Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study Save
- Supplementary Figure from Genome-Wide Association Study of Pregnancy in Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study Save
- The E2F4 transcriptional repressor is a key mechanistic regulator of colon cancer resistance to irinotecan (CPT-11) Save
- Macrophages on the run: Exercise balances macrophage polarization for improved health Save
- Investigating tumor-associated macrophages and their polarization in colorectal cancer using Boolean implication networks Save
- Machine learning identifies signatures of macrophage reactivity and tolerance that predict disease outcomes Save
- Inverse agonists of retinoic acid receptor/retinoid X receptor signaling as lineage-specific antitumor agents against human adenoid cystic carcinoma Save
- Artificial intelligence-guided discovery of gastric cancer continuum Save
- Machine Learning Identifies Signatures of Macrophage Reactivity and Tolerance that Predict Disease Outcomes Save