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P: Create merged project based on tags (merged-dataset)

Brief description

Merge several single-dataset(s) into a multi-dataset project. Datasets are automatically arranged according to the specified parameters.

Parameters

Project name (type - string)

Name of the final project.

Group by (type - string)

Group datasets by this tag. If empty, all datasets will be merged into a single group.

No. of rows (type - integer)

Number of rows to distribute datasets to. This value will determine how the datasets are arranged.

Help

This option determines how many rows should be used when generating the 'multi-dataset' object. You should
think about how many datasets you are providing (also think of the different ROIs), their shape (e.g. if they
are short and wide like eyes or long and narrow like bone). In combination with the Group by option,
you can create various layouts for different kind of experiments!

Horizontal padding (type - integer)

Amount of padding (pixels) between datasets along the horizontal axis.

Vertical padding (type - integer)

Amount of padding (pixels) between datasets along the vertical axis.

Padding between groups (type - integer)

Amount of padding (pixels) to apply between groups (if 'Group by' is specified).

Align direction (type - string)

Merge datasets along the specified direction. 'horizontal' means that groups will be merged along the horizontal axis. 'vertical' means that groups will be merged along the vertical axis.

Dependents (tasks that might depend on this task)

Dependants Required/Optional
P: Normalization (merged-project) required
W: Supervised training (merged-project) required
W: Unsupervised training (merged-project) required
W: Annotate average mass spectrum (merged-project) required

Attributes

Attribute Value Description
Multiple allowed True Allow multiple instances of this task in a workflow.
Task can fail False Task is optional and can fail without causing the entire workflow to fail.
Step can fail False 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).