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Software . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2019
License: CC BY
Data sources: ZENODO
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MOPower: an R-shiny application for the simulation and power calculation of multi-omics studies

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Feb 2019Publisher:Zenodo
Authors: Syed, Hamzah; Otto, Georg; Kelberman, Daniel; Bacchelli, Chiara; Beales, Philip;

doi: 10.5281/zenodo.2554817 , 10.5281/zenodo.2554818

MOPower: an R-shiny application for the simulation and power calculation of multi-omics studies

Abstract

MOPower simulates multi-omic data (genome, transcriptome and epigenome) using statistical distributions and offers a choice of the latest integration and analytical models for calculating power and optimal sample size. 1. The app is deployed on a free R shiny web server https://hsyed.shinyapps.io/MOPower/. 2. Github MOPower page: https://github.com/HSyed91/MOPower.

Related Organizations
Keywords

Multi-omics, DNA methylation, Data simulation, SNP, Gene expression, Power calculation, Integration models

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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