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Canek: Batch Correction of Single Cell Transcriptome Data
Non-linear/linear hybrid method for batch-effect correction
that uses Mutual Nearest Neighbors (MNNs) to identify similar cells between
datasets. Reference: Loza M. et al. (NAR Genomics and Bioinformatics, 2020) <doi:10.1093/nargab/lqac022>.
| Version: |
0.2.5 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
FNN, irlba, numbers, fpc, bluster, igraph, matrixStats, utils |
| Suggests: |
testthat (≥ 2.1.0), Seurat, SingleCellExperiment, SummarizedExperiment, scater, batchelor, scran, knitr, rmarkdown, patchwork, ggplot2 |
| Published: |
2023-12-08 |
| DOI: |
10.32614/CRAN.package.Canek |
| Author: |
Martin Loza  [aut,
cre],
Diego Diez [aut] |
| Maintainer: |
Martin Loza <martin.loza.lopez at gmail.com> |
| BugReports: |
https://github.com/MartinLoza/Canek/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://martinloza.github.io/Canek/ |
| NeedsCompilation: |
no |
| Citation: |
Canek citation info |
| Materials: |
README NEWS |
| CRAN checks: |
Canek results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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