Package: mumosa 1.13.0

Aaron Lun

mumosa: Multi-Modal Single-Cell Analysis Methods

Assorted utilities for multi-modal analyses of single-cell datasets. Includes functions to combine multiple modalities for downstream analysis, perform MNN-based batch correction across multiple modalities, and to compute correlations between assay values for different modalities.

Authors:Aaron Lun [aut, cre]

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mumosa.pdf |mumosa.html✨
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Peer review:

On BioConductor:mumosa-1.13.0(bioc 3.20)mumosa-1.12.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

8 exports 0.61 score 75 dependencies

Last updated 2 months agofrom:f558a929c9

Exports:calculateMultiUMAPcomputeCorrelationsfindTopCorrelationsintersectClustersintersectGraphsmultiModalMNNrescaleByNeighborsrunMultiUMAP

Dependencies:abindaskpassbatchelorbeachmatBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularblustercliclustercodetoolscpp11crayoncurlDelayedArrayDelayedMatrixStatsdqrngedgeRFNNformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrigraphIRangesirlbajsonlitelambda.rlatticelifecyclelimmalocfitmagrittrMatrixMatrixGenericsmatrixStatsmetapodmimeopensslpkgconfigR6RcppRcppAnnoyRcppEigenRcppHNSWRcppProgressResidualMatrixrlangRSpectrarsvdS4ArraysS4VectorsScaledMatrixscranscuttleSingleCellExperimentsitmosnowSparseArraysparseMatrixStatsstatmodSummarizedExperimentsysUCSC.utilsuwotvctrsXVectorzlibbioc