Bioinformatics GO Ontology, leave-one-out cross validation

I need to do gene enrichment analysis using GO ontology followed by Leave-one-out cross validation. Can anyone point me to example code for this purpose?

Chet

Answer 1

[Richard Willey]

Here's a simple example that shows how to do leave one out cross validation using the cvpartition and crossval commands in Statistics Toolbox

% Load the Fisher Iris set, because every examples MUST 
% include the Fisher Iris set
load fisheriris;
y = species;

% Uses cvpartition to create an object 
c = cvpartition(y,'leaveout');

% Create an anonymous function to peform calssification
fun = @(xT,yT,xt,yt)(sum(~strcmp(yt,classify(xt,xT,yT))))

% Apply cross validation
rate = sum(crossval(fun,meas,y,'partition',c))/sum(c.TestSize)