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Contains logic for sample-level variable set scoring using randomized reduced rank reconstruction error. Frost, H. Robert (2023) "Reconstruction Set Test (RESET): a computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error" <doi:10.1101/2023.04.03.535366>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.6.0), Matrix |
| Imports: | methods (≥ 3.6.0) |
| Suggests: | Seurat (≥ 4.0.0), SeuratObject (≥ 4.0.0), sctransform (≥ 0.3.2) |
| Published: | 2024-03-06 |
| Author: | H. Robert Frost [aut, cre] |
| Maintainer: | H. Robert Frost <rob.frost at dartmouth.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | RESET results |
| Reference manual: | RESET.pdf |
| Vignettes: |
10x PBMC 3k log normalization MSigDB BioCarta collection example Seurat pbmc_small log normalization example |
| Package source: | RESET_1.0.0.tar.gz |
| Windows binaries: | r-devel: RESET_1.0.0.zip, r-release: RESET_1.0.0.zip, r-oldrel: RESET_1.0.0.zip |
| macOS binaries: | r-release (arm64): RESET_1.0.0.tgz, r-oldrel (arm64): RESET_1.0.0.tgz, r-release (x86_64): RESET_1.0.0.tgz, r-oldrel (x86_64): RESET_1.0.0.tgz |
| Old sources: | RESET archive |
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