bioc-issue-bot
commented
10 months ago Hi @jacopo-ronchi
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: MIRit
Title: Integrate microRNA and gene expression to decipher pathway complexity
Version: 0.99.0
Date: 2023-11-23
Authors@R: c(
person("Jacopo", "Ronchi", email = "jacopo.ronchi@unimib.it",
role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5520-4631")),
person("Maria", "Foti", email = "maria.foti@unimib.it",
role = c("fnd"), comment = c(ORCID = "0000-0002-4481-1900")))
Description: MIRit is an R package that provides several methods for
investigating the relationships between miRNAs and genes in different
biological conditions. In particular, MIRit allows to explore the functions
of dysregulated miRNAs, and makes it possible to identify miRNA-gene
regulatory axes that control biological pathways, thus enabling the users
to unveil the complexity of miRNA biology. MIRit is an all-in-one framework
that aims to help researchers in all the central aspects of an integrative
miRNA-mRNA analyses, from differential expression analysis to network
characterization.
License: GPL (>= 3)
URL: https://github.com/jacopo-ronchi/MIRit
BugReports: https://support.bioconductor.org/tag/MIRit
biocViews: Software, GeneRegulation, NetworkEnrichment, NetworkInference, Epigenetics, FunctionalGenomics, SystemsBiology, Network, Pathways, GeneExpression, DifferentialExpression
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Imports:
AnnotationDbi,
BiocFileCache,
BiocParallel,
DESeq2,
edgeR,
fgsea,
genekitr,
geneset,
ggplot2,
ggpubr,
graph,
graphics,
graphite,
grDevices,
httr,
limma,
methods,
MultiAssayExperiment,
Rcpp,
readxl,
Rgraphviz (>= 2.44.0),
rlang,
stats,
utils
Collate:
'AllGenerics.R'
'AllClasses.R'
'MIRit-package.R'
'RcppExports.R'
'association.R'
'batch-correction.R'
'data.R'
'differential-expression.R'
'enrichment.R'
'integration.R'
'show-methods.R'
'targets.R'
'topological-integration.R'
'utils.R'
'visualization.R'
Suggests:
BiocStyle,
biomaRt,
BSgenome.Hsapiens.UCSC.hg38,
GenomicRanges,
ggrepel,
ggridges,
Gviz,
gwasrapidd,
knitr,
MonoPoly,
org.Hs.eg.db,
rmarkdown,
testthat (>= 3.0.0)
Depends:
R (>= 4.2.0)
LazyData: false
VignetteBuilder: knitr
Config/testthat/edition: 3
LinkingTo:
Rcpp
lshep
jacopo-ronchi
PeteHaitch
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