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bioRxiv · 10.1101/837765

Identifying differential cell populations in flow cytometry data accounting for marker frequency

Yue, A.·Chauve, C.·Libbrecht, M.·Brinkman, R.
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Abstract

We introduce a new cell population score called SpecEnr (specific enrichment) and describe a method that discovers robust and accurate candidate biomarkers from flow cytometry data. Our approach identifies a new class of candidate biomarkers we define as driver cell populations, whose abundance is associated with a sample class (e.g. disease), but not as a result of a change in a related population. We show that the driver cell populations we find are also easily interpretable using a lattice-based visualization tool. Our method is implemented in the R package flowGraph, freely available on GitHub (github.com/aya49/flowGraph) and on BioConductor.

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Yue, A., Chauve, C., Libbrecht, M., Brinkman, R.. 2019-11-16. Identifying differential cell populations in flow cytometry data accounting for marker frequency. https://doi.org/10.1101/837765

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