So I have an array of tissue samples, each with methylation values for a set of specific genes. These samples are classified as different types of cancers, with about 8 types in all. Is there any way I can use neural networks to predict the conditions of test samples?
Array like this: 
How would I do this in R programming?
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nabeelmamoon •
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You are talking about classification, that is, inducing a model based on training data in order to classify (predict the labels) of previously unseen data. Neural networks are just one possibility. If you want to implement them from scratch, I suggest you take a look here:
- Neural Networks and Learning Machines by Simon Haykin
Matlab has a neural network toolbox. You can also find examples in R, for instance: http://gekkoquant.com/2012/05/26/neural-networks-with-r-simple-example/
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NetunoPoncã
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