tinglabs/reCAT: Reconstructing Cell Cycle Pseudo Time-Series via Single-Cell Transcriptome Data
reCAT is a modelling framework for unsynchronized single-cell transcriptome data that can reconstruct a high-resolution cell cycle time-series. It is mainly based on traveling salesman problem (TSP), Gaussian mixture model (GMM) and hidden Markov model (HMM). We developed an R based software package which is easy to use. The performance is relatively accurate and stable. Thanks for using!
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | Ken Xie <kk.xie419@gmail.com> |
| License | What license is it under? |
| Version | 1.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
