iMUBAC: iMUBAC: Integration of Multi-Batch Cytometry datasets.
In casanova-lab/iMUBAC: Integration of Multi-Batch Cytometry datasets
iMUBAC R Documentation
iMUBAC: Integration of Multi-Batch Cytometry datasets.
Description
High-dimentional cytometry, including spectral flow cytometry and mass cytometry (CyTOF), enables deep immunophenotyping at a single-cell resolution.
Analysis of cytometry data from multiple batches of experiments remains to be challenging due to the high-dimentionality and batch effects.
We designed iMUBAC (Integration of Multi-Batch Cytometry datasets) to enable a rational and streamlined inter-batch comparisons through i) preprocessing, ii) batch-correction, iii) unsupervised clustering, and iv) batch-specific cell-type identification.
casanova-lab/iMUBAC documentation built on Sept. 13, 2022, 6:36 p.m.
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| iMUBAC | R Documentation |
iMUBAC: Integration of Multi-Batch Cytometry datasets.
Description
High-dimentional cytometry, including spectral flow cytometry and mass cytometry (CyTOF), enables deep immunophenotyping at a single-cell resolution. Analysis of cytometry data from multiple batches of experiments remains to be challenging due to the high-dimentionality and batch effects. We designed iMUBAC (Integration of Multi-Batch Cytometry datasets) to enable a rational and streamlined inter-batch comparisons through i) preprocessing, ii) batch-correction, iii) unsupervised clustering, and iv) batch-specific cell-type identification.
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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