TransProR
Analysis and visualization of multi-omics data. In ongoing development: multi-modal fusion, sparse learning, and spatio-temporal effects...
Install / Use
/learn @SSSYDYSSS/TransProRREADME
TransProR
<!-- badges: start --> <!-- badges: end --> <img src="vignettes/image/TransProR_rlogo.png" alt="TransProR Logo" width="210" height="250" align="right"> Analysis and visualization of transcriptomic data are currently in progress. Future directions include multi-modal fusion, sparse learning, and the investigation of spatio-temporal effects.Installation
You can install the development version of TransProR like so:
install.packages("devtools")
devtools::install_github("SSSYDYSSS/TransProR", build_vignettes = TRUE)
install.packages("remotes")
remotes::install_github("SSSYDYSSS/TransProR", build_vignettes = TRUE)
More examples see
TransProR Manual:https://sssydysss.github.io/TransProRBook/
System Requirements
- R (>= 4.3.0)
Example
This is a basic example which shows you how to solve a common problem:
library(TransProR)
## basic example code
Citation
If you use TransPro in your research, please cite:
Dongyue Yu; Chen Li; Shuo Yan; Lujiale Guo; Jingyu Liang; Shengquan Chen*; Wenjun Bu* (2026). Comparative Evaluation of Differential Gene Selection Methods in Transcriptomics: Bias Correction and Visualization with TransPro. Manuscript in preparation.
Correspondence:
Shengquan Chen — School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China.
Wenjun Bu — Institute of Entomology, College of Life Sciences, Nankai University, Tianjin 300071, China.
Code of Conduct
Please note that the TransProR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms. "# TransProR"
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