This is the released version of treeclimbR; for the devel version, see treeclimbR.
An algorithm to find optimal signal levels in a treeBioconductor version: Release (3.21)
The arrangement of hypotheses in a hierarchical structure appears in many research fields and often indicates different resolutions at which data can be viewed. This raises the question of which resolution level the signal should best be interpreted on. treeclimbR provides a flexible method to select optimal resolution levels (potentially different levels in different parts of the tree), rather than cutting the tree at an arbitrary level. treeclimbR uses a tuning parameter to generate candidate resolutions and from these selects the optimal one.
Author: Ruizhu Huang [aut] ORCID: 0000-0003-3285-1945 , Charlotte Soneson [aut, cre] ORCID: 0000-0003-3833-2169
Maintainer: Charlotte Soneson <charlottesoneson at gmail.com>
Citation (from within R, entercitation("treeclimbR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("treeclimbR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("treeclimbR")
Details biocViews CellBasedAssays, Software, StatisticalMethod Version 1.4.0 In Bioconductor since BioC 3.19 (R-4.4) (1 year) License Artistic-2.0 Depends R (>= 4.4.0) Imports TreeSummarizedExperiment(>= 1.99.0), edgeR, methods, SummarizedExperiment, S4Vectors, dirmult, dplyr, tibble, tidyr, ape, diffcyt, ggnewscale, ggplot2 (>= 3.4.0), viridis, ggtree, stats, utils, rlang System Requirements URL https://github.com/csoneson/treeclimbR Bug Reports https://github.com/csoneson/treeclimbR/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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