CellMixS-package: Toolbox to explore batch effects and data integration in...
In CellMixS: Evaluate Cellspecific Mixing
Description
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.
Details
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 cms function.
Local Density Factor Differences to evaluate the effect of data
integration methods on batch internal structures. It can be assesed via the
ldfDiff function.
Author(s)
Almut Lütge almut.luetge@uzh.ch
Mark D Robinson mark.robinson@imls.uzh.ch
CellMixS documentation built on Dec. 19, 2020, 2 a.m.
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Description
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.
Details
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 cms function.
Local Density Factor Differences to evaluate the effect of data
integration methods on batch internal structures. It can be assesed via the
ldfDiff function.
Author(s)
Almut Lütge almut.luetge@uzh.ch
Mark D Robinson mark.robinson@imls.uzh.ch
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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