HDF5 datasets as array-like objects in R
conda install bioconda::bioconductor-hdf5arrayconda install bioconda/label/broken::bioconductor-hdf5arrayconda install bioconda/label/cf201901::bioconductor-hdf5arrayconda install bioconda/label/gcc7::bioconductor-hdf5array
The HDF5Array package is an HDF5 backend for DelayedArray objects. It implements the HDF5Array, H5SparseMatrix, H5ADMatrix, and TENxMatrix classes, 4 convenient and memory-efficient array-like containers for representing and manipulating either: (1) a conventional (a.k.a. dense) HDF5 dataset, (2) an HDF5 sparse matrix (stored in CSR/CSC/Yale format), (3) the central matrix of an h5ad file (or any matrix in the /layers group), or (4) a 10x Genomics sparse matrix. All these containers are DelayedArray extensions and thus support all operations (delayed or block-processed) supported by DelayedArray objects.