treeclimbR
An algorithm to find optimal signal levels in a tree
Bioconductor version: 3.23 · Package version: 1.8.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("treeclimbR") Details
| Maintainer | Charlotte Soneson <charlottesoneson@gmail.com> |
| Author | Ruizhu Huang [aut] (ORCID: <https://orcid.org/0000-0003-3285-1945>), Charlotte Soneson [aut, cre] (ORCID: <https://orcid.org/0000-0003-3833-2169>) |
| License | Artistic-2.0 |
| URL | https://github.com/csoneson/treeclimbR |
| Bug Reports | https://github.com/csoneson/treeclimbR/issues |
| Downloads rank | 183 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, Software, StatisticalMethod |
Documentation
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Dependencies
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
Suggests: knitr, rmarkdown, scales, testthat (>= 3.0.0), BiocStyle, GenomeInfoDb