tgstat: Amos Tanay's Group High Performance Statistical Utilities

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

Downloads:

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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