gongx030/tcm: TCM visualizes trajectories and cell populations from single cell data
Version 1.0.4

Profiling single cell gene expression data over specified time periods are increasingly applied to the study of complex developmental processes. Here, we describe a novel prototype-based dimension reduction method to visualize high throughput temporal expression data for single cell analyses. Our software preserves the global developmental trajectories over a specified time course, and it also identifies subpopulations of cells within each time point demonstrating superior visualization performance over six commonly used methods.

Getting started

Package details

AuthorWuming Gong <[email protected]>
MaintainerWuming Gong <[email protected]>
LicenseMIT License
Version1.0.4
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("gongx030/tcm")
gongx030/tcm documentation built on Dec. 12, 2017, 11:23 p.m.