bioc-issue-bot
commented
2 years ago Hi @BioSok
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: omada
Type: Package
Title: Machine learning tools for automated transcriptome
clustering analysis
Version: 0.99.0
Authors@R: person("Sokratis Kariotis", "Developer", role = c("aut", "cre"),
email = "sokratiskariotis@gmail.com")
Description: An unsupervised machine learning toolkit for automated sample
clustering of gene expression profiles. Offer various tools that provide machine
learning based answers to decisions that need to be taken during
a clustering analysis
Depends:
pdfCluster (>= 1.0-3),
kernlab (>= 0.9-29),
R (>= 4.1),
fpc (>= 2.2-9),
Rcpp (>= 1.0.7),
diceR (>= 0.6.0),
ggplot2 (>= 3.3.5),
reshape (>= 0.8.8),
clusterCrit (>= 1.2.8),
clValid (>= 0.7),
glmnet (>= 4.1.3),
dplyr(>= 1.0.7)
Suggests:
rmarkdown,
knitr,
testthat
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
VignetteBuilder: knitr
biocViews: Software, Clustering, RNASeq, GeneExpression
vjcitn
BioSok
nturaga
lshep
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