Proof of concept of a paper reducing dimensions in omics data with autoencoders.
When researchers use omics data, they face the curse of dimensionality : their data have too many features compared to the number of records. To fix this problem, I and another intern tried to replicate a few papers to see how to reduce the dimensions of those datasets while keeping a maximum of information.