Package: MuData 1.9.0
Danila Bredikhin
MuData: Serialization for MultiAssayExperiment Objects
Save MultiAssayExperiments to h5mu files supported by muon and mudata. Muon is a Python framework for multimodal omics data analysis. It uses an HDF5-based format for data storage.
Authors:
MuData_1.9.0.tar.gz
MuData_1.9.0.zip(r-4.5)MuData_1.9.0.zip(r-4.4)MuData_1.9.0.zip(r-4.3)
MuData_1.9.0.tgz(r-4.4-any)MuData_1.9.0.tgz(r-4.3-any)
MuData_1.9.0.tar.gz(r-4.5-noble)MuData_1.9.0.tar.gz(r-4.4-noble)
MuData_1.9.0.tgz(r-4.4-emscripten)MuData_1.9.0.tgz(r-4.3-emscripten)
MuData.pdf |MuData.html✨
MuData/json (API)
NEWS
| # Install 'MuData' in R: |
| install.packages('MuData', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ilia-kats/mudata/issues
On BioConductor:MuData-1.9.0(bioc 3.20)MuData-1.8.0(bioc 3.19)
Last updated 2 months agofrom:9ec354a6ca
Exports:readH5ADreadH5MUwriteH5ADwriteH5MU
Dependencies:abindaskpassBiobaseBiocBaseUtilsBiocGenericsclicpp11crayoncurlDelayedArraydplyrfansigenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluehttrIRangesjsonlitelatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeMultiAssayExperimentopensslpillarpkgconfigpurrrR6rhdf5rhdf5filtersRhdf5librlangS4ArraysS4VectorsSingleCellExperimentSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectUCSC.utilsutf8vctrswithrXVectorzlibbioc
CITE-seq data with CiteFuse and MuData
Rendered fromBlood-CITE-seq.Rmdusingknitr::rmarkdownon Jul 02 2024.Last update: 2022-01-10
Started: 2021-12-10
CITE-seq data with MultiAssayExperiment and MuData
Rendered fromCord-Blood-CITE-seq.Rmdusingknitr::rmarkdownon Jul 02 2024.Last update: 2022-01-10
Started: 2021-12-10
Getting started with MuData for MultiAssayExperiment
Rendered fromGetting-Started.Rmdusingknitr::rmarkdownon Jul 02 2024.Last update: 2021-12-21
Started: 2021-09-23
