Contrastive Covariance Methods

Nima Hejazi
PhD Candidate in Biostatistics

My research interests lie at the intersection of causal inference and machine learning, especially as applied to the statistical analysis of complex data from observational studies and experiments in the biomedical and health sciences.

Publications

Exploring high-dimensional biological data with sparse contrastive principal component analysis

Motivation: Statistical analyses of high-throughput sequencing data have re-shaped the biological sciences. In spite of myriad …

scPCA: A toolbox for sparse contrastive principal component analysis in R

scPCA is a toolbox for sparse contrastive principal component analysis of high-dimensional biological data. scPCA combines the …