doi:10.1371/journal.pcbi.1005752> and are described there in further detail.">

Holomics: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis (original) (raw)

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
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

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