Tool Parameters

Please provide a value for this option.
* required
Select input dataset options
specific dataset input for reading
*
Default horizontal: header names are interpreted as sample names
- optional
Select groups
*
Advanced Options
Output Options
*
Default: inches.
*
*
*
Plot resolution. Applies only to raster output types.
*
PNG is always selected as output format.

Additional Options

Send an email notification when the job completes.

Help

What it does

This tool generates a Principal component analysis (PCA) for a given table using a combination of ggplot2 and ggfortify.


Example

WARNING: Be carefull when selecting row names in the second option because the grouping elements do not update automaticly before executing the script. This means that columns have to be chosen as if the row name column was already be removed.

Example for row names in table

name control 1 control 2 treatment 1 treatment 2
gene 1 10 12 3455 232
gene 2 20 2 345 334
gene 3 200 210 20 2
         
1 2 3 4 5

The new index after reading the table will be:

name control 1 control 2 treatment 1 treatment 2
1 2 3 4

Pictures coming soon.

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