getInteraction {SLGI} | R Documentation

## Count genetic interactions within and between cellular organizational units

### Description

Count the number of genetic interactions within and between the elements of the interactome.

### Usage

    getInteraction(iMat, universe, interactome)

### Arguments

`iMat` | Interaction matrix. Each entry has value 0 or 1, representing positive or negative interaction of corresponding pairs of row and column, respectively.
`universe` | Character vector of gene names, e.g., array genes used in synthetic genetic array experiments (SGA)
`interactome` | Adjacency matrix where row are gene names and columns are cellular organizational units.

### Value

The returned value is a list of 2 matrices:

`bwMat` | A interaction matrix that corresponds to the cellular organizational units interaction matrix where row and columns a organizational units names and the value inside the matrix are the number of genetic interactions they share.
`CDs` | Subset of the input interactome that shares interactions.

### Author(s)

N. LeMeur

### Examples

    ##Create the genetic interaction matrix
    gInt <- sample(c(0, 1), 25, TRUE)
    iMat  <- matrix(gInt, nrow=5, ncol=5, dimnames=list(letters[1:5],letters[4:8]))

    ##Create the interactome
    cInt <- sample(c(0,1),30, TRUE)
    interactome  <- matrix(cInt, nrow=6, ncol=5,dimnames=list(letters[2:7],LETTERS[1:5]))

    ## Reduce the genetic interaction matrix to match the gene present in
    ## the interactome
    reducediMat <- gi2Interactome(iMat, interactome)

    ## Get the interaction
    prey <- letters[1:20]
    myInteraction <- getInteraction(reducediMat, prey, interactome)

[Package SLGI version 1.48.0 Index]