scTenifoldNet

Construct and Compare scGRN from Single-Cell Transcriptomic Data

v1.3 · Oct 28, 2021 · GPL (>= 2)

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.

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Maintainer: ‘Daniel Osorio <dcosorioh@utexas.edu>’

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NOTE r-devel-linux-x86_64-debian-gcc

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Daniel Osorio <dcosorioh@utexas.edu>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Daniel Osorio <dcosorioh@utexas.edu>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

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scTenifoldKnk

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Version History

9 tracked

new 1.3 Mar 10, 2026

updated 1.3 ← 1.2.4 diff Oct 28, 2021

updated 1.2.4 ← 1.2.3 diff Nov 16, 2020

updated 1.2.3 ← 1.2.2 diff Aug 25, 2020

updated 1.2.2 ← 1.2.1 diff May 12, 2020

updated 1.2.1 ← 1.2.0 diff Apr 8, 2020

updated 1.2.0 ← 1.1.0 diff Mar 9, 2020

updated 1.1.0 ← 1.0.0 diff Jan 7, 2020

new 1.0.0 Dec 14, 2019