# TransProR

[![R-CMD-check](https://github.com/SSSYDYSSS/TransProR/workflows/R-CMD-check/badge.svg)](https://github.com/SSSYDYSSS/TransProR/actions) [![CRAN status](https://www.r-pkg.org/badges/version/TransProR)](https://cran.r-project.org/package=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:

``` r

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:

``` r

library(TransProR)

## basic example code

```

## Citation

Yu Dongyue (2023). TransProR: 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.

<https://github.com/SSSYDYSSS/TransProR>, 

<https://sssydysss.github.io/TransProRBook/>.

## Code of Conduct

Please note that the TransProR project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms. "\# TransProR"