
doi.org/10.32614/CRAN.package.Holomics
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Holomics: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis
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) <<a href="https://doi.org/10.1371%2Fjournal.pcbi.1005752" target="_top">doi:10.1371/journal.pcbi.1005752</a>> and are described there in further detail.
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Holomics: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis
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) <<a href="https://doi.org/10.1371%2Fjournal.pcbi.1005752" target="_top">doi:10.1371/journal.pcbi.1005752</a>> and are described there in further detail.
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Holomics: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis
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) <<a href="https://doi.org/10.1371%2Fjournal.pcbi.1005752" target="_top">doi:10.1371/journal.pcbi.1005752</a>> and are described there in further detail.
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10- titleCRAN: Package Holomics
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- citation_titleAn User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis [R package Holomics version 1.1.1]
- citation_author1Katharina Munk
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5- og:titleHolomics: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis
- og:descriptionA '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) <<a href="https://doi.org/10.1371%2Fjournal.pcbi.1005752" target="_top">doi:10.1371/journal.pcbi.1005752</a>> and are described there in further detail.
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- og:urlhttps://CRAN.R-project.org/package=Holomics
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8- https://CRAN.R-project.org/package=Holomics
- https://CRAN.R-project.org/src/contrib/Archive/Holomics
- https://doi.org/10.1371%2Fjournal.pcbi.1005752
- https://doi.org/10.32614/CRAN.package.Holomics
- https://github.com/MolinLab/Holomics