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W: Distributions of ion centroids (multi-dataset)

Brief description

Compare ion intensity statistics for set of ion images across multiple samples.

Parameters

Centroid tag (type - string)

Tag to use for the object.

Masks (type - array)

Masks will be used to select subset of pixels to allow comparison within the mask region. Multiple masks will be treated independently so if you select 2 masks/dataset, two violin plots will be drawn for each dataset.

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.

No. of most abundant (type - integer)

Number of most intense features to use. If 'value=0' then all features will be used.

Export CSVs (type - boolean)

Export CSVs with the data that was used to generate the figures.

Plot type (type - string)

Type of plot that should be generated.

Orientation (type - string)

Orientation of the plot (vertical=intensity on the y-axis; horizontal=intensity on the x-axis).

Plot style (type - array)

Style of the generated figures.

Color palette (type - string)

Color palette to use to colorize mass spectra.

DPI (type - integer)

DPI of the image.

Export images as (type - string)

Export figures as image or within a single PDF or PowerPoint.

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).