A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
| Version: | 2.3.16 |
| Depends: | R (≥ 3.5.0) |
| Imports: | utils |
| OS_type: | unix |
| Published: | 2020-09-02 |
| Author: | Michael Hoichman |
| Maintainer: | Michael Hoichman <misha at hoichman.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | README NEWS |
| CRAN checks: | tgstat results |
| Reference manual: | tgstat.pdf |
| Vignettes: |
User manual |
| Package source: | tgstat_2.3.16.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release: tgstat_2.3.16.tgz, r-oldrel: tgstat_2.3.16.tgz |
| Old sources: | tgstat archive |
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