Package: scISR
Type: Package
Title: Single-Cell Imputation using Subspace Regression
Version: 0.1.1
Authors@R: c(
    person("Duc", "Tran", , "duct@nevada.unr.edu", role = c("aut", "cre")),
    person("Bang", "Tran", role = c("aut")),
    person("Hung", "Nguyen", role = c("aut")),
    person("Tin", "Nguyen", role = c("fnd"))
    )
Maintainer: Duc Tran <duct@nevada.unr.edu>
Description: 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>).
License: LGPL
Depends: R (>= 3.4)
Imports: cluster, entropy, stats, utils, parallel, irlba, PINSPlus,
        matrixStats, markdown
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Suggests: testthat, knitr, mclust
VignetteBuilder: knitr
URL: https://github.com/duct317/scISR
BugReports: https://github.com/duct317/scISR/issues
Packaged: 2022-06-28 19:32:08 UTC; dtran
Author: Duc Tran [aut, cre],
  Bang Tran [aut],
  Hung Nguyen [aut],
  Tin Nguyen [fnd]
Repository: CRAN
Date/Publication: 2022-06-30 06:20:08 UTC
Built: R 4.6.0; ; 2026-04-26 04:47:58 UTC; unix
