R: Construct and Compare scGRN from Single-Cell Transcriptomic Data

# Construct and Compare scGRN from Single-Cell Transcriptomic Data

## Documentation for package ‘scTenifoldNet’ version 1.3

- DESCRIPTION file
- Package README

## Help Pages

cpDecomposition | Canonical Polyadic Decomposition
cpmNormalization | Performs counts per million (CPM) data normalization
dRegulation | Evaluates gene differential regulation based on manifold alignment distances.
makeNetworks | Computes gene regulatory networks for subsamples of cells based on principal component regression.
manifoldAlignment | Performs non-linear manifold alignment of two gene regulatory networks.
pcNet | Computes a gene regulatory network based on principal component regression
scQC | Performs single-cell data quality control
scTenifoldNet | scTenifoldNet
tensorDecomposition | Performs CANDECOMP/PARAFAC (CP) Tensor Decomposition.