FindAUC

A vector of p values, one for each gene, with length m

pvalue

A vector of indices that the corresponding gene are true positive

Given a vector of p values for m genes and a set of null genes, compute the area under ROC curve using the Wilcoxin statistics

misc

These functions take a gene expression value matrix, a
primary covariate vector, an additional known covariates
matrix.  A two stage analysis is applied to counter the effects
of latent variables on the rankings of hypotheses.  The
estimation and adjustment of latent effects are proposed by
Sun, Zhang and Owen (2011).  "leapp" is developed in the
context of microarray experiments, but may be used as a general
tool for high throughput data sets where dependence may be
involved.

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FindAUC: Compute the area under the ROC curve (AUC)

Description

Usage

Arguments

Value