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https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
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Mosim: Multi-Omics Simulation in R

Authors: Martínez-Mira, Carlos; Conesa, Ana; Tarazona, Sonia;

Mosim: Multi-Omics Simulation in R

Abstract

Abstract Motivation As new integrative methodologies are being developed to analyse multi-omic experiments, validation strategies are required for benchmarking. In silico approaches such as simulated data are popular as they are fast and cheap. However, few tools are available for creating synthetic multi-omic data sets. Results MOSim is a new R package for easily simulating multi-omic experiments consisting of gene expression data, other regulatory omics and the regulatory relationships between them. MOSim supports different experimental designs including time series data. Availability The package is freely available under the GPL-3 license from the Bitbucket repository ( https://bitbucket.org/ConesaLab/mosim/ ). Contact cmartinez@cipf.es Supplementary information Supplementary material is available at bioRxiv online.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green