| corPredictionSuccess {WGCNA} | R Documentation |
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 |
mean |
meancorTestSetNegative |
mean |
...
Author(s)
Steve Horvath
See Also
[Package WGCNA version 1.72-5 Index]