Fig. 7: Direct implementation of clinical classifier allows the accurate classification of disease states. | Nature Communications

Fig. 7: Direct implementation of clinical classifier allows the accurate classification of disease states.

From: Unveiling the power of high-dimensional cytometry data with cyCONDOR

Fig. 7: Direct implementation of clinical classifier allows the accurate classification of disease states.

a Schematic overview of the clinical classifier workflow implemented in cyCONDOR. b UMAP visualization of the training dataset colored by experimental groups. c Single-cell level probability for the test dataset split by sample and colored by experimental group. d Sample level probability for the test dataset split by sample and colored by experimental group. e Accuracy, specificity and sensitivity of a clinical classifier trained on the entire FlowCap-II dataset (100 permutations, Tukey-style boxplot). Source data are provided as a Source Data file. Created in BioRender. Bonaguro, L. (2024) https://biorender.com/u02j561.

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