sponge_subsampling {SPONGE} | R Documentation

## Sponge subsampling

### Description

Sponge subsampling

### Usage

    sponge_subsampling(subsample.n = 100, subsample.repeats = 10,
      subsample.with.replacement = FALSE, subsample.plot = FALSE, gene_expr,
      mir_expr, ...)

### Arguments

`subsample.n` | the number of samples to be drawn in each round
`subsample.repeats` | how often should the subsampling be done?
`subsample.with.replacement` | logical, should we allow samples to be used repeatedly
`subsample.plot` | logical, should the results be plotted as box plots
`gene_expr` | A gene expression matrix with samples in rows and featurs in columns. Alternatively an object of class ExpressionSet.
`mir_expr` | A miRNA expression matrix with samples in rows and features in columns. Alternatively an object of class ExpressionSet.
`...` | parameters passed on to the sponge function

### Value

a summary of the results with mean and standard deviations of the correlation and sensitive correlation.

### References

sponge

### Examples

    sponge_subsampling(gene_expr = gene_expr,
    mir_expr = mir_expr, mir_interactions = mir_interactions,
    subsample.n = 10, subsample.repeats = 1)

[Package SPONGE version 1.2.0 Index]