Single-Cell Imputation using Subspace Regression R package scISR version 0.1.1 Provides an imputation pipeline for single-cell RNA sequencing data. The 'scISR' method uses a hypothesis-testing technique to identify zero-valued entries that are most likely affected by dropout events and estimates the dropout values using a subspace regression model (Tran et.al. (2022) <DOI:10.1038/s41598-022-06500-4>). Software Depends: R (>= 3.4) Imports: cluster, entropy, stats, utils, parallel, irlba, PINSPlus, matrixStats, markdown Suggests: testthat, knitr, mclust Duc Tran <duct@nevada.unr.edu> Comprehensive R Archive Network (CRAN) Duc Tran [aut, cre], Bang Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd] LGPL 2022-06-30 application/tgz https://CRAN.R-project.org/package=scISR doi:10.32614/CRAN.package.scISR