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The Complexity of Hyperparameters in Omics
In computational biology, interpreting multivariate omics data (e.g., transcriptomics, proteomics) requires rigorous dimensionality reduction techniques. mixOmics is a leading R package for these methodologies.
tuneR was developed to address a critical gap: the computational overhead and statistical complexity of hyperparameter tuning in sparse Partial Least Squares (sPLS) models.
Optimization Strategies
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