Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysis.

ABSTRACT: In single-cell RNA-seq (scRNA-seq) experiments, the number of individual cells has increased exponentially, and the sequencing depth of each cell has decreased significantly. As a result, analyzing scRNA-seq data requires extensive considerations of program efficiency and method selection. In order to reduce the complexity of scRNA-seq data analysis, we present scedar, a scalable Python package for scRNA-seq exploratory data analysis. The package provides a convenient and reliable interface for performing visualization, imputation of gene dropouts, detection of rare transcriptomic profiles, and clustering on large-scale scRNA-seq datasets. The analytical methods are efficient, and they also do not assume that the data follow certain statistical distributions. The package is extensible and

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC7217489 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature