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tgstat (version 2.3.28)

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 ).

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Version

Install

install.packages('tgstat')

Monthly Downloads

276

Version

2.3.28

License

GPL-2

Maintainer

Aviezer Lifshitz

Last Published

September 23rd, 2024

Functions in tgstat (2.3.28)

tgs_graph_cover_resample

Clusters directed graph multiple times with randomized sample subset
tgs_dist

Calculates distances between the matrix rows
tgs_matrix_tapply

For each matrix row apply a function over a ragged array
tgstat-package

tgstat: Amos Tanay's Group High Performance Statistical Utilities
tgs_finite

Checks whether all the elements of the vector are finite
tgs_cor

Calculates correlation or auto-correlation
tgs_knn

Returns k highest values of each column
tgs_graph_cover

Clusters directed graph
tgs_graph

Builds directed graph of correlations