corPredictionSuccess: Qunatification of success of gene screening

In nosarcasm/WGCNA: Weighted Correlation Network Analysis

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

See Also

relativeCorPredictionSuccess

nosarcasm/WGCNA documentation built on May 28, 2019, 1:01 p.m.