W: Create ratio images (single-dataset)
Brief description
Generate ratio images for each dataset.
Parameters
Filename (type - string)
Path to peaklist file.
Normalization tag (type - string)
Tag to use for normalization.
Help
Rather than applying a normalization to the entire dataset, we apply it as needed to each task at hand.
You can compare the effect normalization has on specific task by repeating it with different normalization.
In some cases, its advised to use 'multi-dataset' normalization, in particular when doing comparisons.
Normalization name (type - string)
Name of the normalization.
PPM tolerance (type - number)
ppm tolerance for image extraction.
Clip hotspots (type - boolean)
Clip image intensities to increase image contrast.
Quantile (type - boolean)
Use quantile normalization - only used if the Normalization tag is not specified.
Colorbar (type - boolean)
Add colorbar to the image.
Colormap (type - string)
Colormap to use for the image.
DPI (type - integer)
DPI of the image.
Auto-rotate images (type - boolean)
Automatically rotate images that are taller than they are wider.
Export images as (type - string)
Export figures as image or within a single PDF or PowerPoint.
Export to file (type - array)
Type of output of the image data. This will include the centroid and ratio images.
Attributes
| Attribute | Value | Description |
|---|---|---|
| Multiple allowed | True | Allow multiple instances of this task in a workflow. |
| Task can fail | True | Task is optional and can fail without causing the entire workflow to fail. |
| Step can fail | True | Sub-tasks of this task can fail without causing the entire task (and workflow) to fail. |
| Requires ion mobility | False | Task requires ion mobility data. |
| Task can fail (with ion mobility) | False | This task uses ion mobility data but it is allowed to fail, without causing the entire workflow to fail. |
| Allowed in reference dataset | True | Task is to be performed on a 'reference' dataset. This will allow for multiple analyses to be performed on the same dataset, without cluttering or duplicating certain tasks (unused at the moment). |