bioc-issue-bot
commented
4 months ago Hi @csoneson
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: treeclimbR
Type: Package
Title: An algorithm to find optimal signal levels in a tree
Version: 0.99.0
Date: 2024-02-24
Authors@R: c(person("Ruizhu", "Huang", email = "ruizhuRH@gmail.com",
role = c("aut"),
comment = c(ORCID = "0000-0003-3285-1945")),
person("Charlotte", "Soneson",
email = "charlottesoneson@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-3833-2169")))
Description: 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.
License: Artistic-2.0
Encoding: UTF-8
biocViews: StatisticalMethod, CellBasedAssays
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
RoxygenNote: 7.3.1
VignetteBuilder: knitr
URL: https://github.com/csoneson/treeclimbR
BugReports: https://github.com/csoneson/treeclimbR/issues
Config/testthat/edition: 3
jianhong
csoneson
jwokaty
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