Plot ROC Curve for a Dataset

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Description

rocPlot will plot an ROC curve (and return the AUC) that describes how well a gene signature (as defined in a filterObject) classifies groups in a dataset (in the form of a datasetObject).

Usage

1
rocPlot(filterObject, datasetObject, title = datasetObject$formattedName)

Arguments

filterObject

a MetaFilter object containing the signature genes that will be used for calculation of the ROC plot.

datasetObject

a Dataset object for group comparison in the ROC plot. (At least, must have a $expr of probe-level data, $keys of probe:gene mappings, and $class of two-class labels.)

title

Title for the ROC plot.

Details

Evaluates the ability of a given gene set to separate two classes. The gene set is evaluated as a Z-score of the difference in means between the positive genes and the negative genes (see calculateScore). Returns a standard ROC plot, plus AUC with 95% CI (calculated according to Hanley method).

Value

Returns a ggplot2 plot object

Author(s)

Timothy E. Sweeney

See Also

calculateScore, calculateROC

Examples

1
rocPlot(tinyMetaObject$filterResults[[1]], tinyMetaObject$originalData[[1]])