**A:** corplot is an interactive R application developed using the shiny package for plotting correlation heatmaps from gene expression data.
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2. PLOT DATA - The data to be plotted can be viewed in this file, the number of genes to be plotted can be increased/decreased using the slide bar (Number of Genes With Highest Variance) in DATA TABLE tab.
3. CORRELATION HEATMAP- The heat map is generated and viewed in this tab.
3. CORRELATION HEATMAP- The heat map is generated and viewed in this tab.
4. CORRELATION MATRIX - The correlation matrix generated can be viewed in this tab.
4. CORRELATION MATRIX - The correlation matrix generated can be viewed in this tab.
5. INFO - This tab presents a drop down with two tabs - 'FAQ' and 'ABOUT', from which frequently asked questions and information regarding availability, prerequisite packages and running information can be otained.
Correlation analysis is a powerful approach to determine the strength of association between two variables. The strength and direction of a correlation is represented in the form of a correlation coefficient ranging from -1 (negative) to +1 (positive). In cases of biological data such as expression data, establishing a clear pattern can be difficult from just looking at the values. The CORPLOT tool has been created to enable researchers to see the results of correlation analysis graphically in the form of an interactive heatmap, which can aid in better understanding of relationships and help identify new patterns.
### Disclaimer
CORPLOT tool is intended for visualization purpose only and should not be used for treating or diagnosing human subjects.
### Availability
The source code and installation instructions are available at ................................
The source code and installation instructions can be obtained from []gitlab](https://gitlab.utu.fi/dhajam/corplot)
### Required Software
CORPLOT requires additional inhouse R packages in-order to run. The required pacakages can be obtained from this **link**
CORPLOT requires additional inhouse R packages in-order to run. The required pacakages can be obtained from this [link](https://gitlab.utu.fi/dhajam/corplot)
### Frequently asked questions
Please refer to the **FAQ** here
Please refer to the [FAQ](https://gitlab.utu.fi/dhajam/corplot/blob/master/Markdown/FAQ.md) here
