WGCNA (version 1.43)

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

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
• ...

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.

See Also

relativeCorPredictionSuccess