mosim: mosim
In MOSim: Multi-Omics Simulation (MOSim)

Description Usage Arguments Value Examples

Performs a multiomic simulation by chaining two actions: 1) Creating the "MOSimulation" class with the provided params. 2) Calling "simulate" method on the initialized object.

1 2	mosim(omics, omicsOptions, diffGenes, numberReps, numberGroups, times, depth, profileProbs, minMaxFC, TFtoGene)

`omics`	Character vector containing the names of the omics to simulate, which can be "RNA-seq", "miRNA-seq", "DNase-seq", "ChIP-seq" or "Methyl-seq" (e.g. c("RNA-seq", "miRNA-seq")). It can also be a list with the omic names as names and their options as values, but we recommend to use the argument omicSim to provide the options to simulated each omic.
`omicsOptions`	List containing the options to simulate each omic. We recommend to apply the helper method omicSim to create this list in a friendly way, and the function omicData to provide custom data (see the related sections for more information). Each omic may have different configuration parameters, but the common ones are: simuData/idToGene Seed sample and association tables for regulatory omics. The helper function omicData should be used to provide this information (see the following section). regulatorEffect For regulatory omics. List containing the percentage of effect types (repressor, activator or no effect) over the total number of regulators. See vignette for more information. totalFeatures Number of features to simulate. By default, the total number of features in the seed dataset. depth Sequencing depth in millions of reads. If not provided, it takes the global parameter passed to mosim function. replicateParams List with parameters a and b for adjusting the variability in the generation of replicates using the negative binomial. See vignette for more information.
`diffGenes`	Number of differentially expressed genes to simulate, given in percentage (0 - 1) or in absolute number (> 1). By default 0.15
`numberReps`	Number of replicates per experimetal condition (and time point, if time series are to be generated). By default 3.
`numberGroups`	Number of experimental groups or conditions to simulate.
`times`	Vector of time points to consider in the experimental design.
`depth`	Sequencing depth in millions of reads.
`profileProbs`	Numeric vector with the probabilities to assign each of the patterns. Defaults to 0.2 for each.
`minMaxFC`	Numeric vector of length 2 with minimum and maximum fold-change for differentially expressed features, respectively.
`TFtoGene`	A logical value indicating if default transcription factors data should be used (TRUE) or not (FALSE), or a 3 column data frame containing custom associations. By default FALSE.

Instance of class "MOSimulation" containing the multiomic simulation data.

 moSimulation <- mosim(
     omics = c("RNA-seq"),
     numberReps = 3,
     times = c(0, 2, 6, 12, 24)
 )

 # Retrieve simulated count matrix for RNA-seq
 dataRNAseq <- omicResults(moSimulation, "RNA-seq")