Going from where to why--interpretable prediction of protein subcellular localization.

Abstract excerpt

MOTIVATION: Protein subcellular localization is pivotal in understanding a protein's function. Computational prediction of subcellular localization has become a viable alternative to experimental approaches. While current machine learning-based methods yield good prediction accuracy, most of them suffer from two key problems: lack of interpretability and dealing with multiple locations. RESULTS: We present YLoc,...

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