Random Forest Factorization Reveals Latent Structure in Single Cell RNA Sequencing Data
Boris M. Brenerman, Benjamin D. Shapiro, Michael C. Schatz, Alexis J. Battle
This study uses random forest regression to uncover latent gene regulatory structures in mouse brain scRNA-seq data, revealing age-related cellular phenotypes not detected by other methods.
bioRxiv · Sep 13, 2021 · PreprintBioinformatics