feature_louvain_overlap {mosbi} | R Documentation

## Overlap of features/samples in different louvain communities

### Description

The function calculates how often features or samples occur across all calculated louvain communities

### Usage

    feature_louvain_overlap(overlap_tables, mat)

### Arguments

`overlap_tables` | List of tables as returned by `attr_overlap`.
`mat` | The data matrix used as input for the biclustering algorithms.

### Value

List of tables as returned by `attr_overlap`, extended by a column showing how often elements occur across all tables.

### Examples

    # a = data.frame(type=c("row", "row", "row", "column", "column", "column"),
    #   ID=c(1,2,3,1,2,3), Fraction=c(1,1,1,.5, .5, .5))
    # b = data.frame(type=c("row", "row", "row", "column", "column", "column"),
    #   ID=c(3,2,4,1,5,3), Fraction=c(1,1,1,.5, .5, .5))
    # inl <- list(a, b)
    # feature_louvain_overlap(outl, matrix(1:100, nrow=10))

[Package mosbi version 1.0.3 Index]