scTEP: Single-Cell Trajectory Inference using Ensemble Pseudotimes

A single-cell trajectory inference method using 'Autoencoder' and Minimum Spanning Tree (MST) from high dimensional 'scRNA-Seq' data. The software run clustering methods six times using 'scDHA' with the number of clusters set from 6 to 10. Then, the 'scTEP' calculates pseudotime based on multiple clustering results. Lastly, the 'scTEP' generates trajectory using MST algorithm and fine-tunes it according to the pseudotime of clusters.

Getting started

Package details

AuthorYifan Zhang [aut, cre], Duc Tran [aut], Tin Nguyen [fnd], Sergiu M. Dascalu [fnd], Frederick C. Harris, Jr. [fnd]
MaintainerYifan Zhang <yfzhang@nevada.unr.edu>
LicenseLGPL
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("scTEP")

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scTEP documentation built on Sept. 26, 2022, 5:10 p.m.