Implements the HDF5Array and TENxMatrix classes, 2 convenient
and memory-efficient array-like containers for on-disk representation
of HDF5 datasets. HDF5Array is for datasets that use the conventional
(i.e. dense) HDF5 representation. TENxMatrix is for datasets that
use the HDF5-based sparse matrix representation from 10x Genomics
(e.g. the 1.3 Million Brain Cell Dataset). Both containers being
DelayedArray extensions, they support all operations supported by
DelayedArray objects. These operations can be either delayed or
block-processed.
Installed Size: 9.3 MB
Architectures: arm64 amd64