WGCNA: corPredictionSuccess – R documentation

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WGCNA

corPredictionSuccess

Qunatification of success of gene screening

Description

This function calculates the success of gene screening.

Usage

corPredictionSuccess(corPrediction, corTestSet, topNumber = 100)

Arguments

`corPrediction`	a vector or a matrix of prediction statistics
`corTestSet`	correlation or other statistics on test set
`topNumber`	a vector of the number of top genes to consider

Details

For each column in corPrediction, the function evaluates the mean corTestSet for the number of top genes (ranked by the column in corPrediction) given in topNumber. The higher the mean corTestSet (for positive corPrediction) or negative (for negative corPrediction), the more successful the prediction.

Value

`meancorTestSetOverall`	difference of `meancorTestSetPositive` and `meancorTestSetNegative` below
`meancorTestSetPositive`	mean `corTestSet` on top genes with positive `corPrediction`
`meancorTestSetNegative`	mean `corTestSet` on top genes with negative `corPrediction`

...

Author(s)

Steve Horvath