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DESCRIPTION
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DESCRIPTION
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Package: POMA
Title: User-friendly Workflow for Omics Data Analysis
Version: 1.5.5
Authors@R:
c(person(given = "Pol",
family = "Castellano-Escuder",
role = c("aut", "cre"),
email = "polcaes@gmail.com",
comment = c(ORCID = "0000-0001-6466-877X"))
)
Description:
A structured, reproducible and easy-to-use workflow for the visualization, pre-processing, exploration,
and statistical analysis of omics datasets. The main aim of POMA is to enable a flexible data cleaning and
statistical analysis processes in one comprehensible and user-friendly R package. This package also has a Shiny app
version that implements all POMA functions. See https://github.com/pcastellanoescuder/POMAShiny.
License: GPL-3
Encoding: UTF-8
LazyData: true
biocViews:
MassSpectrometry, Metabolomics, Proteomics, Software, StatisticalMethod,
Visualization, Preprocessing, Normalization, ReportWriting
Imports:
broom,
caret,
ComplexHeatmap,
dplyr,
e1071,
ggcorrplot,
ggplot2,
ggrepel,
glasso (>= 1.11),
glmnet,
impute,
knitr,
limma,
magrittr,
mixOmics,
qpdf,
randomForest,
RankProd (>= 3.14),
rmarkdown,
SummarizedExperiment,
tibble,
tidyr,
vegan
Suggests:
BiocStyle,
covr,
ggraph,
patchwork,
plotly,
tidyverse,
testthat (>= 2.3.2)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
Depends: R (>= 4.0)
VignetteBuilder: knitr
URL: https://github.com/pcastellanoescuder/POMA
BugReports: https://github.com/pcastellanoescuder/POMA/issues