How to implement neural networks?
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: http://imgur.com/PvIdzJz
How would I do this in R programming? Can anyone offer SPECIFIC code? I've tried everything but it doesn't seem to work...
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A little bit of Googling around gives you plenty of things to look at:
Examples:
http://gekkoquant.com/2012/05/26/neural-networks-with-r-simple-example/
https://beckmw.wordpress.com/tag/neural-network/
http://scg.sdsu.edu/ann_r/
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