Warp: a method for neural network interpretability applied to gene expression profiles

16 Aug 2017Trofimov AssyaLemieux SebastienPerreault Claude

We show a proof of principle for warping, a method to interpret the inner working of neural networks in the context of gene expression analysis. Warping is an efficient way to gain insight to the inner workings of neural nets and make them more interpretable... (read more)

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