For my graduate work, I have taken two approaches to identify relationships between genes:
- modeling gene expression data to build sparse co-expression networks, and
- utilizing resources such as GTEx to model cis-mediated trans genetic effects on gene expression with genotype and expression data
I have designed approaches to understand the impact of artifacts and noise in RNA-seq data on trans-eQTL mapping, and developed algorithms to eliminate biases due to artifacts in gene expression prior to building gene networks. Currently, I am building a transfer learning model to increase power during reconstruction of co-expression networks.
You can find my publications here