Bioinformatics GO Ontology, leave-one-out cross validation
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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?
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Richard Willey
le 15 Avr 2011
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)
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