Benchmarking principal component analysis for large-scale single-cell RNA-sequencing | Genome Biology | Full Text

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing | Genome Biology | Full Text

Benchmarking principal component analysis for large-scale single-cell RNA-sequencing

Principal component analysis (PCA) is an essential method for analyzing single-cell RNA-seq (scRNA-seq) datasets, but for large-scale scRNA-seq datasets, computation time is long and consumes large amounts of ...

Authors:Koki Tsuyuzaki, Hiroyuki Sato, Kenta Sato and Itoshi Nikaido

Citation:Genome Biology 2020 21:9

Content type:Research

Published on: 20 January 2020

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