Exploring transcriptomic and genomic latent variable correction approaches in differential expression analysis.
Yadusayan Appulingam, John Jammal, Aminah Ali, Simon Topp, Hemali P. Phatnani, Justin Kwan, Dhruv Sareen, James R. Broach, Zachary Simmons, Ximena Arcila-Londono, Edward B. Lee, Vivianna M. Van Deerlin, Neil A. Shneider, Ernest Fraenkel, Lyle W. Ostrow, , Oliver Pain
This paper evaluates combining expression-based surrogate variables and genotype-based principal components in differential expression analysis, finding the combined approach improves replicability and biological recall in ALS datasets.
Scientific Reports · Oct 11, 2026Peer-reviewedBioinformatics