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000279931 037__ $$aDZNE-2025-00862
000279931 1001_ $$0P:(DE-2719)9001161$$aBreimann, Stephan$$b0
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000279931 520__ $$aFirst stable release of AAanalysis (Amino Acid analysis), a Python framework for interpretable sequence-based protein prediction. This version includes the foundational algorithms used in the publication 'Charting γ-secretase substrates by explainable AI' (Breimann & Kamp et al., Nature Communications, 2025): CPP (Comparative Physicochemical Profiling), a feature engineering method that identifies the most distinctive physicochemical properties between two sets of protein sequences, and dPULearn, a deterministic positive-unlabeled (PU) learning algorithm enabling robust classification from imbalanced and small datasets.
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000279931 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)9001161$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b0$$kDZNE
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000279931 9201_ $$0I:(DE-2719)1110000-1$$kAG Steiner$$lBiochemistry of γ-Secretase$$x0
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