Area of research
Statistics and Probability · Molecular Biology
Research interest
Research interests include Computer science, Internal medicine, Disease, Medicine, Kidney disease, and Data science.
Renin-angiotensin system inhibition reverses the altered triacylglycerol metabolic network in diabetic kidney disease
Research in network monitoring: Connections with SPM and new directions
Foundations of network monitoring: Definitions and applications
Broader impacts of network monitoring: Its role in government, industry, technology, and beyond
The interdisciplinary nature of network monitoring: Advantages and disadvantages
Increased lipogenesis and impaired β-oxidation predict type 2 diabetic kidney disease progression in American Indians
Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions
Differential network enrichment analysis reveals novel lipid pathways in chronic kidney disease
Elevated lipoxygenase and cytochrome P450 products predict progression of chronic kidney disease
Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications
Lipidomic Signature of Progression of Chronic Kidney Disease in the Chronic Renal Insufficiency Cohort
Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer
The Role of Sarcosine Metabolism in Prostate Cancer Progression
Comparing exposure metrics for classifying ‘dangerous heat’ in heat wave and health warning systems
Transcriptional and metabolic data integration and modeling for identification of active pathways