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
Config/pak/sysreqs: make
Repository: https://duct317.r-universe.dev
Date/Publication: 2022-06-30 18:47:05 UTC
RemoteUrl: https://github.com/duct317/scisr
RemoteRef: HEAD
RemoteSha: b25eac4ad6b5ee2eaca923d688ffaa49032ac3b1
Packaged: 2026-07-16 06:29:31 UTC; root
Author: Duc Tran [aut, cre],
  Bang Tran [aut],
  Hung Nguyen [aut],
  Tin Nguyen [fnd]