The R package PreTSA (Pattern recognition in Temporal and Spatial Analyses) performs computationally efficient modeling of temporal and spatial gene expression patterns in large-scale single-cell and spatial transcriptomics data, providing a unique solution for understanding dynamic biological processes.
Installation
To install the latest version of the R package from GitHub, please run following commands in R:
if (!require("devtools"))
install.packages("devtools")
devtools::install_github("haotian-zhuang/PreTSA")Vignettes
Detailed vignettes are available at this website.
Vignette: Model temporal gene expression patterns
Vignette: Model spatial gene expression patterns
Citation
Please cite the following paper: Zhuang, Haotian, and Zhicheng Ji. “PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns.” bioRxiv (2024): 2024-03.
Contact
Authors: Haotian Zhuang, Zhicheng Ji
Report bugs and provide suggestions by sending email to:
Maintainer: Haotian Zhuang (haotian.zhuang@duke.edu)
Or open a new issue on this GitHub page