partialCorrelationNI {multiSight} | R Documentation

## Partial Correlation network inference

### Description

Partial Correlation network inference

### Usage

    partialCorrelationNI(concatenatedMatrix, valueThreshold)

### Arguments

`concatenatedMatrix` | A concatenated matrix of all omic selected features. Returned by getDataSelectedFeatures().
`valueThreshold` | Partial Correlation Value threshold to select relevant values

### Value

Each result for a partial correlation network of selected features according to threshold values.

### Examples

    data("omic2", package = "multiSight")
    splitData <- splitDatatoTrainTest(omic2, 0.8)
    data.train <- splitData$data.train
    data.test <- splitData$data.test

    #diabloRes <- runSPLSDA(data.train)
    data("diabloRes", package = "multiSight")
    diabloModels <- diabloRes$model #sPLS-DA model using all omics.
    diabloFeats <- diabloRes$biosignature #selected features for each omic.
    omicMatrices <- getDataSelectedFeatures(omic2, diabloFeats)
    partialCorrelationNI(omicMatrices, 0.8)

[Package multiSight version 1.2.0 Index]