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 ).

'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.

See also

Useful links:

• https://tanaylab.github.io/tgstat/

• Report bugs at https://github.com/tanaylab/tgstat/issues

Author

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

Authors:

• Michael Hoichman misha@hoichman.com