Package: batchelor 1.23.0
Aaron Lun
batchelor: Single-Cell Batch Correction Methods
Implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.
Authors:
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batchelor.pdf |batchelor.html✨
batchelor/json (API)
NEWS
| # Install 'batchelor' in R: |
| install.packages('batchelor', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:batchelor-1.23.0(bioc 3.21)batchelor-1.22.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
sequencingrnaseqsoftwaregeneexpressiontranscriptomicssinglecellbatcheffectnormalizationcpp
Last updated 2 months agofrom:045cc757ae. Checks:OK: 1 ERROR: 1 NOTE: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 29 2024 |
| R-4.5-linux-x86_64 | ERROR | Nov 29 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 29 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 29 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 29 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 29 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 29 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 29 2024 |
Exports:applyMultiSCEbatchCorrectcheckBatchConsistencycheckIfSCEcheckRestrictionsClassicMnnParamclusterAbundanceTestclusterAbundanceVarclusterMNNconvertPCsToSCEcorrectExperimentscosineNormdivideIntoBatchesfastMNNFastMnnParamfindMutualNNintersectRowsmnnCorrectmnnDeltaVariancemultiBatchNormmultiBatchPCAnoCorrectNoCorrectParamquickCorrectreducedMNNregressBatchesRegressParamrescaleBatchesRescaleParam
Dependencies:abindaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularclicodetoolscpp11crayoncurlDelayedArrayDelayedMatrixStatsformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrigraphIRangesirlbajsonlitelambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeopensslpkgconfigR6RcppResidualMatrixrlangrsvdS4ArraysS4VectorsScaledMatrixscuttleSingleCellExperimentsnowSparseArraysparseMatrixStatsSummarizedExperimentsysUCSC.utilsvctrsXVectorzlibbioc
Correcting batch effects in single-cell RNA-seq data
Rendered fromcorrection.Rmdusingknitr::rmarkdownon Nov 29 2024.Last update: 2021-04-07
Started: 2019-02-11
Extending dispatch to more batch correction methods
Rendered fromextension.Rmdusingknitr::rmarkdownon Nov 29 2024.Last update: 2019-11-02
Started: 2019-02-11
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Apply function over multiple SingleCellExperiments | applyMultiSCE |
| Batch correction methods | batchCorrect batchCorrect,ClassicMnnParam-method batchCorrect,FastMnnParam-method batchCorrect,NoCorrectParam-method batchCorrect,RegressParam-method batchCorrect,RescaleParam-method |
| Using restriction | batchelor-restrict |
| BatchelorParam methods | BatchelorParam-class ClassicMnnParam ClassicMnnParam-class FastMnnParam FastMnnParam-class NoCorrectParam NoCorrectParam-class RegressParam RegressParam-class RescaleParam RescaleParam-class |
| Check batch inputs | checkBatchConsistency checkIfSCE checkRestrictions |
| Cluster-based MNN | clusterMNN |
| Convert corrected PCs to a SingleCellExperiment | convertPCsToSCE |
| Correct SingleCellExperiment objects | correctExperiments |
| Cosine normalization | cosineNorm |
| Cluster-based correction diagnostics | clusterAbundanceTest clusterAbundanceVar diagnostics-cluster |
| Divide into batches | divideIntoBatches |
| Fast mutual nearest neighbors correction | fastMNN |
| Take the intersection of rows across batches | intersectRows |
| Mutual nearest neighbors correction | mnnCorrect |
| Computes the variance of the paired MNN deltas | mnnDeltaVariance |
| Per-batch scaling normalization | multiBatchNorm |
| Multi-batch PCA | multiBatchPCA |
| No correction | noCorrect |
| Quickly perform batch correction | quickCorrect |
| MNN correction in reduced dimensions | reducedMNN |
| Regress out batch effects | regressBatches |
| Scale counts across batches | rescaleBatches |
