CellMixS provides metrics and functions to evaluate batch effects, data integration and batch effect correction in single cell trancriptome data with single cell resolution. Results can be visualized and summarised on different levels, e.g. on cell, celltype or dataset level.
In particular, CellMixS includes two main metrics:
Cellspecific mixing scores to determine the probability of random mixing
in each cell's neighbourhood. It can be assesed via the
Local Density Factor Differences to evaluate the effect of data
integration methods on batch internal structures. It can be assesed via the
Almut Lütge email@example.com
Mark D Robinson firstname.lastname@example.org
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.