https://github.com/fpaskali/madapp
https://github.com/fpaskali/madapp
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/fpaskali/madapp
- Owner: fpaskali
- License: gpl-3.0
- Created: 2025-06-12T15:55:37.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-13T14:47:48.000Z (about 1 year ago)
- Last Synced: 2025-06-13T15:47:33.489Z (about 1 year ago)
- Language: R
- Size: 2.08 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
##
Microarray Data Analysis Application (MADApp)
The repository of the development version of shiny application MADApp
[](https://www.gnu.org/licenses/lgpl-3.0)
[](https://www.repostatus.org/#active)

[](https://microsoft.com/windows/)
## Description
Microarray Data Analysis Application is an application for a quantification of microarray images.
## Installation
To install the required packages, load the project from RStudio and run the following command in the R console:
```{r}
renv::restore()
```
Alternatively, you can open terminal in the MADApp root directory, start R and use the same command in R console.
## System dependencies
Certain R packages require system libraries to be preinstalled. Below are the commands to install these libraries for different Linux distributions:
### Debian/Ubuntu
Use the following command to install the necessary dependencies:
```{bash}
sudo apt install libtiff-dev libfftw3-dev libcurl4-openssl-dev libssl-dev libxml2-dev
```
### Fedora/RHEL
Use this command to install the dependencies:
```{bash}
sudo dnf install libtiff-devel fftw-devel libcurl-devel openssl-devel libxml2-devel
```
* If you encounter errors in the installation process or additional dependencies are needed, please open an issue to report them.
## Start App
To start the application from RStudio, load the project and run the following command in the R console:
```{r}
shiny::runApp()
```
## Preview




