tgstat-package {tgstat}R Documentation

tgstat: Amos Tanay's Group High Performance Statistical Utilities

Description

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).

'tgstat' package is intended to help users to efficiently analyze data in time-patient space.

Details

For a complete list of help resources, use library(help = "tgstat").

More information about the options can be found in 'User manual' of the package.

Author(s)

Maintainer: Aviezer Lifshitz aviezer.lifshitz@weizmann.ac.il

Authors:

See Also

Useful links:


[Package tgstat version 2.3.28 Index]