Package: tgstat 2.3.28
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>).
Authors:
tgstat_2.3.28.tar.gz
tgstat_2.3.28.tar.gz(r-4.5-noble)tgstat_2.3.28.tar.gz(r-4.4-noble)
tgstat_2.3.28.tgz(r-4.4-emscripten)tgstat_2.3.28.tgz(r-4.3-emscripten)
tgstat.pdf |tgstat.html✨
tgstat/json (API)
NEWS
# Install 'tgstat' in R: |
install.packages('tgstat', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/tanaylab/tgstat/issues
Pkgdown site:https://tanaylab.github.io
Last updated 6 months agofrom:4a2edbf80a. Checks:3 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 23 2025 |
R-4.5-linux-x86_64 | OK | Mar 23 2025 |
R-4.4-linux-x86_64 | OK | Mar 23 2025 |
Exports:tgs_cortgs_cor_knntgs_disttgs_finitetgs_graphtgs_graph_covertgs_graph_cover_resampletgs_knntgs_matrix_tapply
Dependencies:
Citation
To cite package ‘tgstat’ in publications use:
Hoichman M, Lifshitz A (2024). tgstat: Amos Tanay's Group High Performance Statistical Utilities. R package version 2.3.28, https://CRAN.R-project.org/package=tgstat.
Corresponding BibTeX entry:
@Manual{, title = {tgstat: Amos Tanay's Group High Performance Statistical Utilities}, author = {Michael Hoichman and Aviezer Lifshitz}, year = {2024}, note = {R package version 2.3.28}, url = {https://CRAN.R-project.org/package=tgstat}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculates correlation or auto-correlation | tgs_cor tgs_cor_knn |
Calculates distances between the matrix rows | tgs_dist |
Checks whether all the elements of the vector are finite | tgs_finite |
Builds directed graph of correlations | tgs_graph |
Clusters directed graph | tgs_graph_cover |
Clusters directed graph multiple times with randomized sample subset | tgs_graph_cover_resample |
Returns k highest values of each column | tgs_knn |
For each matrix row apply a function over a ragged array | tgs_matrix_tapply |