Showing 10 of total 10 results (show query)
bioc
DelayedArray:A unified framework for working transparently with on-disk and in-memory array-like datasets
Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.
Maintained by Hervé Pagès. Last updated 2 months ago.
infrastructuredatarepresentationannotationgenomeannotationbioconductor-packagecore-packageu24ca289073
27 stars 15.59 score 538 scripts 1.2k dependentsbioc
HDF5Array:HDF5 datasets as array-like objects in R
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.
Maintained by Hervé Pagès. Last updated 13 days ago.
infrastructuredatarepresentationdataimportsequencingrnaseqcoverageannotationgenomeannotationsinglecellimmunooncologybioconductor-packagecore-packageu24ca289073
12 stars 13.20 score 844 scripts 126 dependentsbioc
BiocSingular:Singular Value Decomposition for Bioconductor Packages
Implements exact and approximate methods for singular value decomposition and principal components analysis, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Where possible, parallelization is achieved using the BiocParallel framework.
Maintained by Aaron Lun. Last updated 5 months ago.
softwaredimensionreductionprincipalcomponentbioconductor-packagehuman-cell-atlassingular-value-decompositioncpp
7 stars 12.10 score 1.2k scripts 103 dependentsbioc
ScaledMatrix:Creating a DelayedMatrix of Scaled and Centered Values
Provides delayed computation of a matrix of scaled and centered values. The result is equivalent to using the scale() function but avoids explicit realization of a dense matrix during block processing. This permits greater efficiency in common operations, most notably matrix multiplication.
Maintained by Aaron Lun. Last updated 2 months ago.
8.44 score 10 scripts 105 dependentsbioc
alabaster.matrix:Load and Save Artifacts from File
Save matrices, arrays and similar objects into file artifacts, and load them back into memory. This is a more portable alternative to serialization of such objects into RDS files. Each artifact is associated with metadata for further interpretation; downstream applications can enrich this metadata with context-specific properties.
Maintained by Aaron Lun. Last updated 27 days ago.
dataimportdatarepresentationcpp
7.05 score 15 scripts 8 dependentsbioc
TileDBArray:Using TileDB as a DelayedArray Backend
Implements a DelayedArray backend for reading and writing dense or sparse arrays in the TileDB format. The resulting TileDBArrays are compatible with all Bioconductor pipelines that can accept DelayedArray instances.
Maintained by Aaron Lun. Last updated 5 months ago.
datarepresentationinfrastructuresoftware
10 stars 6.89 score 26 scripts 1 dependentsbioc
ResidualMatrix:Creating a DelayedMatrix of Regression Residuals
Provides delayed computation of a matrix of residuals after fitting a linear model to each column of an input matrix. Also supports partial computation of residuals where selected factors are to be preserved in the output matrix. Implements a number of efficient methods for operating on the delayed matrix of residuals, most notably matrix multiplication and calculation of row/column sums or means.
Maintained by Aaron Lun. Last updated 3 months ago.
softwaredatarepresentationregressionbatcheffectexperimentaldesign
1 stars 6.83 score 6 scripts 10 dependentsbioc
DelayedRandomArray:Delayed Arrays of Random Values
Implements a DelayedArray of random values where the realization of the sampled values is delayed until they are needed. Reproducible sampling within any subarray is achieved by chunking where each chunk is initialized with a different random seed and stream. The usual distributions in the stats package are supported, along with scalar, vector and arrays for the parameters.
Maintained by Aaron Lun. Last updated 3 months ago.
5.26 score 6 scripts 1 dependentsbioc
SQLDataFrame:Representation of SQL tables in DataFrame metaphor
Implements bindings for SQL tables that are compatible with Bioconductor S4 data structures, namely the DataFrame and DelayedArray. This allows SQL-derived data to be easily used inside other Bioconductor objects (e.g., SummarizedExperiments) while keeping everything on disk.
Maintained by Qian Liu. Last updated 5 months ago.
datarepresentationinfrastructuresoftware
2 stars 4.51 score 5 scripts
yunuuuu
BPCellsArray:Using BPCells as a DelayedArray Backend
Implements a DelayedArray backend for reading and writing arrays in the BPCells storage layout. The resulting BPCells*Arrays are compatible with all Bioconductor pipelines that can accept DelayedArray instances.
Maintained by Yun Peng. Last updated 8 months ago.
softwaredataimportdatarepresentationinfrastructuresingle-cell
7 stars 4.32 score