Information-theory-based benchmarking and feature selection algorithm improve cell type annotation and reproducibility of single cell RNA-seq data analysis pipelines
Ziyou Ren, Martin Gerlach, Hanyu Shi, G. R. Scott Budinger, Luı́s A. Nunes Amaral
The paper develops an information-theory-based method to improve cell type annotation and reproducibility in scRNA-seq analysis by benchmarking feature selection and clustering approaches.
bioRxiv · Nov 2, 2020 · PreprintBioinformatics