Seurat v3[1] introduced new methods for the integration of multiple single-cell datasets, no matter whether they were collected from different individuals, experimental conditions, technologies, etc. Seurat 3 integration method aims to use a subset of the data as reference for the integrate analysis. The method integrates all other data with the reference subset. The subset can be one sample or a subgroup of samples defined by the factor attribute. Its "Standard Workflow" is provided in Partek Flow. 

Seurat3 integration in Flow can be invoked in Batch removal section if a Normalized counts data node is selected (Figure 1). 

...

Users can click Configure to change the default settings In Advanced options (Figure 4).

Image RemovedImage Added

Figure 4.  Advanced configure options for Seurat3 integration in Flow.

Use reference to find anchors: when this box is checked, the first group of the selected attribute is used as reference to find anchors. To use a different group as reference, change the order of subgroups of the attribute in the attribute management page on Data tab. When the box is unchecked,  anchors will be identified by comparing all pairs of subgroups, this option is very computationally intensive.

Perform L2 normalization: Perform L2 normalization on the CCA cell embeddings after dimensional reduction.

...