FastRNA: An efficient solution for PCA of single-cell RNA-sequencing data based on a batch-accounting count model

FastRNA is an efficient data analysis framework for single-cell RNA-seq. With unique algebraic techniques, it reduced time and memory requirement by orders of magnitude. When applied to an atlas-scale dataset with 2 million cells, it takes 1  min and 1 GB of memory to complete feature selection and dimension reduction.

Source: The American Journal of Human Genetics - October 6, 2022 Category: Genetics & Stem Cells Authors: Hanbin Lee, Buhm Han Tags: Article Source Type: research