How to implement neural networks?
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8.7 years ago

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: image: pic of notebook

How would I do this in R programming?

neural-networks • 2.0k views
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Entering edit mode
8.7 years ago
NetunoPoncã ▴ 160

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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