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Description
Hi,
Thank you for the packages! I have a question about applying Infinity Flow to a slightly different experimental design.
I have 3 independent flow panels that share a backbone set of markers, but each panel has multiple additional markers:
Panel1: backbone + Marker1+Marker2
Panel2: backbone + Marker3
Panel3: backbone + Marker4
Infinity Flow is designed for backbone + 1 “infinity” marker per panel, but my panels have 1–2 extra markers per panel, not strictly one.
I’d like to know:
Is it acceptable practice to run Infinity Flow sequentially per marker (i.e., one model per marker) and then merge the predicted markers into a single high-dimensional dataset for UMAP/clustering?
Do you foresee any limitations or caveats when doing this and are there any recommendations for best practices?
Best,