Fig. 1: cyCombine overview. | Nature Communications

Fig. 1: cyCombine overview.

From: cyCombine allows for robust integration of single-cell cytometry datasets within and across technologies

Fig. 1: cyCombine overview.The alternative text for this image may have been generated using AI.

a Batch correction workflow. First, expression values are transformed in each batch to enable co-clustering of samples from all batches. After clustering, the transformed values are reverted to expression values and ComBat is applied to each self-organizing map (SOM) cluster. b Panel merging workflow. Clustering is performed on overlapping markers, and the missing values for each cell in a panel are imputed using probability draws from the kernel density estimates (kde) from co-clustered cells of the other panel.

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