Benchmarking principal component analysis for large-scale single-cell RNA-sequencing - Tsuyuzaki, Koki; Sato, Hiroyuki; Sato, Kenta; Nikaido, Itoshi (Genome Biology, 2020)
Keywords: Accuracy; Algorithms; Animal Genetics and Genomics; Benchmarking; Benchmarking Studies; Bioinformatics; Biomedical and Life Sciences; Cell cycle; Cellular heterogeneity; Clustering; Computer applications; Data analysis; data collection; Datasets; Dimension reduction; Evolutionary Biology; Gene expression; genome; Genomics; guidelines; Human Genetics; Life Sciences; memory; Microbial Genetics and Genomics; Online/incremental algorithm; Pancreas; Plant Genetics and Genomics; Principal Component Analysis; Randomized algorithm; Ribonucleic acid; RNA; RNA-Seq - methods; sequence analysis; Single-Cell Analysis - methods; Single-cell RNA-seq; Software; Julia; Dimension reduction; Cellular heterogeneity; R; Out-of-core; Single-cell RNA-seq; Sparse data format; Online/incremental algorithm; Randomized algorithm; Principal component analysis; Python