Many techniques exist for deriving predictive modeling functions and we will not provide a thorough review here. For in-depth overviews, there are many books on this topic, for example, Kuhn and ...
Cross-validation (CV) is a technique to assess the generalizability of a model to unseen data. This technique relies on assumptions that may not be satisfied when studying genomics datasets. For ...
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