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This repository contains the implementation of CRANK-MS, an interpretable neural network framework that can be applied to whole mass spectrometry-based datasets for binary classification. CRANK-MS has several built-in features including: (i) integrated model parameters that allow whole mass spectrometry-based datasets to be analysed (e.g ...
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