corPredictionSuccess: Qunatification of success of gene screening

Description Usage Arguments Details Value Author(s) See Also

View source: R/Functions.R

Description

This function calculates the success of gene screening.

Usage

1
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

See Also

relativeCorPredictionSuccess


WGCNA documentation built on Oct. 24, 2018, 5:04 p.m.