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DiffDriver estimates individual- and\nposition-specific background mutation rates, models selection\nas a deviation from the background rate using functional\nannotations, and tests context effects through a\nlatent-variable logistic model. It provides utilities for\npreparing mutation and annotation data, fitting\ndifferential-selection models, running gene-level association\ntests, summarizing candidate genes, and visualizing mutation\npatterns. The method is described in Zhou et al. 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