scTenifoldNet

a machine learning workflow for constructing and comparing transcriptome-wide gene regulatory networks from single-cell data. Construct and Compare scGRN from Single-Cell Transcriptomic Data. A R/MATLAB package to construct and compare single-cell gene regulatory networks (scGRNs) using single-cell RNA-seq (scRNA-seq) data collected from different conditions based on machine learning methods. scTenifoldNet uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs. 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.