A 'shiny' application, which allows you to perform single- and
multi-omics analyses using your own omics datasets. After the upload
of the omics datasets and a metadata file, single-omics is performed
for feature selection and dataset reduction. These datasets are used
for pairwise- and multi-omics analyses, where automatic tuning is
done to identify correlations between the datasets - the end goal
of the recommended 'Holomics' workflow.
Methods used in the package were implemented in the package 'mixomics'
by Florian Rohart,Benoît Gautier,Amrit Singh,Kim-Anh Lê Cao (2017) <doi:10.1371/journal.pcbi.1005752>
and are described there in further detail.
Version: |
1.1.1 |
Depends: |
R (≥ 4.0) |
Imports: |
bs4Dash (≥ 2.0.2), config, dplyr, DT, ggplot2, golem, igraph, openxlsx, readxl, shiny (≥ 1.6.0), shinyalert, shinybusy, shinyjs, shinyvalidate, shinyWidgets, stringr, tippy, visNetwork, mixOmics, BiocParallel, markdown, ggrepel, matrixStats, RSpectra, reshape2, tidyr, uuid |
Suggests: |
bookdown, knitr, rmarkdown, badger |
Published: |
2024-06-07 |
DOI: |
10.32614/CRAN.package.Holomics |
Author: |
Katharina Munk [aut, cre],
Eva M. Molin [aut, ctb],
Günter Brader [ctb],
Lisa Ziemba [ctb],
AIT Austrian Institute of Technology GmbH [cph] |
Maintainer: |
Katharina Munk <katharinamunk at yahoo.de> |
BugReports: |
https://github.com/MolinLab/Holomics/issues |
License: |
GPL (≥ 3) |
URL: |
https://github.com/MolinLab/Holomics |
NeedsCompilation: |
no |
Language: |
en-US |
Citation: |
Holomics citation info |
Materials: |
README NEWS |
CRAN checks: |
Holomics results |