Memory-efficient file-based data structures for dense and sparse vectors, matrices, arrays, and lists with applications to nonuniformly sampled signals and spectra.
Package details |
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Author | Kylie A. Bemis <k.bemis@northeastern.edu> |
Bioconductor views | DataImport DataRepresentation DimensionReduction Infrastructure Preprocessing |
Maintainer | Kylie A. Bemis <k.bemis@northeastern.edu> |
License | Artistic-2.0 |
Version | 2.5.14 |
URL | https://github.com/kuwisdelu/matter |
Package repository | View on GitHub |
Installation |
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