Machine learning-assisted identification of factors contributing to the technical variability between bulk and single-cell RNA-seq experiments
Sofya Lipnitskaya, Yang Shen, Stefan Legewie, Holger Klein, Kolja Becker
The paper identifies factors contributing to technical variability between bulk and single-cell RNA-seq experiments and introduces FAVSeq, a machine learning pipeline to detect these factors.
bioRxiv · Jan 6, 2022 · PreprintBioinformatics