data: Example single-cell transcriptomic data in sparse form
In RcppPlanc: Parallel Low-Rank Approximation with Nonnegativity Constraints

ctrl.sparse

R Documentation

Example single-cell transcriptomic data in sparse form

Description

The two datasets, namingly ctrl.sparse and stim.sparse, are single-cell transcriptomic data preprocessed and subsampled from the study of Hyun Min Kang and et al., Nat Biotech., 2018. The raw datasets were two sparse matrices of integer values indicating the counts of genes (rows) per cell (columns). We normalized each column of both matrices by its library size (sum), and selected common variable genes across the datasets. Finally, we scaled the genes without centering them, in order to keep the non-negativity. The processed datasets were then randomly subsampled for a minimal example.