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https://github.com/fpaskali/madapp


https://github.com/fpaskali/madapp

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# MADApp MADApp
The repository includes the development version of shiny application MADApp

[![License: LGPL v3](https://img.shields.io/badge/License-LGPL%20v3-blue.svg)](https://www.gnu.org/licenses/lgpl-3.0)
[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](https://www.repostatus.org/badges/latest/wip.svg)](https://www.repostatus.org/#wip)

## Installation

MADApp is dependent on following packages

- shiny
- shinyjs
- shinythemes
- fs
- DT
- tidyr
- plotly
- EBImage

They can be installed via
```
install.packages(c("shiny","shinyjs","shinythemes","fs","DT","tidyr","plotly"))
```

Additionaly, the application requires EBImage package which can not be found on CRAN and should be installed from Bioconductor via
```{r, eval = FALSE}
## Install package BiocManager
if(!require(BiocManager)) install.packages("BiocManager")
## Use BiocManager to install EBImage
BiocManager::install("EBImage", update = FALSE)
```

## Start App
The application can be loaded into RStudio and started with Run App command; or from R with the following commands

```{r}
library(shiny)
runApp("R/MADApp.R")
```

## Description
Image analysis (cropping, segmentation, thresholding, feature engineering, plotting, timeseries) of images taken from microarrays.

## Preview

![tab1](preview/preview_1.png)
![tab2](preview/preview_2.png)
![tab3](preview/preview_3.png)
![tab4](preview/preview_4.png)
![tab5](preview/preview_5.png)