Md. Bahadur Badsha

The paper investigates cis- and trans-regulation of eQTLs across human tissues, identifying different regulatory network types and mediator roles.

This paper introduces a robust hierarchical co-clustering algorithm to identify toxicogenomic biomarkers and their regulatory doses of chemical compounds, showing improved performance over traditional methods in the presence of outliers.

The paper introduces LATE and TRANSLATE autoencoder-based methods for imputing single-cell RNA-seq data, showing improved performance over existing methods.

This paper introduces MRPC, a machine learning algorithm that uses Mendelian randomization to infer causal biological networks from genotype and molecular phenotype data.