Andrea Malaspina

Exploring transcriptomic and genomic latent variable correction approaches in differential expression analysis

Abstract Background Differential expression analysis is a central tool for studying the biological processes altered in human diseases via transcriptomic signatures. However, transcriptomic datasets are systematically confounded by latent variables from two distinct sources: unme...