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https://github.com/astrazeneca/metabolic_classifier


https://github.com/astrazeneca/metabolic_classifier

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# Metabolic classifier

This repository contains a jupyter notebook containing the calculations described in the paper *Metabolic imaging across scales reveals distinct prostate cancer phenotypes*.

In the notebook we analyse mass spectrometry imaging (MSI) data from a set of prostate cancer (PCa) samples.

We train a small neural network to classify samples as either bengign or malignant. We use Shapley additive explanations to investigate the contributions of each metabolite to a sample's classification as either malignant or bengign.