bioc-issue-bot
commented
9 months ago Hi @asiort
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: ClustAll
Type: Package
Title: ClustAll: Data driven strategy to find groups
of patients within complex diseases
Version: 0.99.0
Authors@R: c(person("Asier", "Ortega-Legarreta", role = c("aut","cre"),
email = "aortegal@navarra.es",
comment = c(ORCID = "0009-0000-3563-5362")),
person("Sara", "Palomino-Echeverria", role = c("aut"),
email = "spalomie@navarra.es"))
Imports: FactoMineR, bigstatsr, clValid, clusteval, doSNOW,
parallel, foreach, dplyr, fpc, mice, modeest, flock, networkD3,
methods, ComplexHeatmap, RColorBrewer, circlize, ggplot2, grid,
stats, utils
Suggests: knitr
Description: Data driven strategy to find hidden groups of patients with complex
diseases using clinical data. ClustAll facilitates the unsupervised
identification of multiple robust stratifications. ClustAll, is able to
overcome the most common limitations found when dealing with clinical
data (missing values, correlated data, mixed data types).
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
biocViews: Software, StatisticalMethod, Clustering, DimensionReduction,
PrincipalComponent
RoxygenNote: 7.2.3
VignetteBuilder: knitr
git_url: https://github.com/TranslationalBioinformaticsUnit/ClustAll
NeedsCompilation: no
Packaged: 2023-08-10 12:55:36 UTC; asier.ortega
lshep
asiort
DarioS
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