Package: scTenifoldNet
Type: Package
Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Version: 1.4
Authors@R: c(person(given = "Daniel", family = "Osorio", email = "dcosorioh@gmail.com", role = c("aut","cre"), comment = c(ORCID = '0000-0003-4424-8422')),
             person(given = "Yan", family = "Zhong", role = c("aut","ctb")),
             person(given = "Guanxun", family = "Li", role = c("aut","ctb")),
             person(given = "Jianhua", family = "Huang", role = c("aut","ctb")),
             person(given = "James", family = "Cai", role = c("aut", "ctb", "ths"), comment = c(ORCID = '0000-0002-8081-6725'))
             )
Description: A workflow based on machine learning methods to construct
        and compare single-cell gene regulatory networks (scGRN) using
        single-cell RNA-seq (scRNA-seq) data collected from different
        conditions. Uses principal component regression, tensor
        decomposition, and manifold alignment, to accurately identify
        even subtly shifted gene expression programs. See
        <doi:10.1016/j.patter.2020.100139> for more details.
URL: https://github.com/cailab-tamu/scTenifoldNet
BugReports: https://github.com/cailab-tamu/scTenifoldNet/issues
License: GPL (>=2)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: Rcpp, RSpectra, Matrix, methods, stats, utils, MASS, cli,
        furrr, future, RhpcBLASctl
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 2.1.0)
Repository: https://cailab-tamu.r-universe.dev
Date/Publication: 2026-07-10 21:17:12 UTC
RemoteUrl: https://github.com/cailab-tamu/sctenifoldnet
RemoteRef: HEAD
RemoteSha: c6d4e4043dd8484b478cea62fc48e99df760e441
NeedsCompilation: yes
Packaged: 2026-07-10 21:51:08 UTC; root
Author: Daniel Osorio [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4424-8422>),
  Yan Zhong [aut, ctb],
  Guanxun Li [aut, ctb],
  Jianhua Huang [aut, ctb],
  James Cai [aut, ctb, ths] (ORCID:
    <https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <dcosorioh@gmail.com>