Bioinformatics GO Ontology, leave-one-out cross validation

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Chet Seligman 2011-4-15

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https://ww2.mathworks.cn/matlabcentral/answers/5582-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

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Answer 1

Richard Willey 2011-4-15

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https://ww2.mathworks.cn/matlabcentral/answers/5582-bioinformatics-go-ontology-leave-one-out-cross-validation#answer_7821

在 MATLAB Online 中打开

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)