Package: TBEST 5.2

TBEST: Tree Branches Evaluated Statistically for Tightness

Our method introduces mathematically well-defined measures for tightness of branches in a hierarchical tree. Statistical significance of the findings is determined, for all branches of the tree, by performing permutation tests, optionally with generalized Pareto p-value estimation.

Authors:Guoli Sun, Alex Krasnitz

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TBEST.pdf |TBEST.html✨
TBEST/json (API)

# Install 'TBEST' in R:
install.packages('TBEST', repos = c('https://gsun2018.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • T10 - Breast tumor single cells data
  • leukemia - Leukemia data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.71 score 3 dependencies 2 mentions 8 scripts 244 downloads

Last updated 2 years agofrom:448b143890. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:LeafContentPartitionTreeplot.bestSigTree

Dependencies:fdrtoolMASSsignal