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Artificial Neural Networks (ANN) are extensively used to model 'omics' data. Different modeling methodologies and combinations of adjustable parameters influence model performance and complicate model optimization.

Optimizing artificial neural network models for metabolomics and systems biology: an example using HPLC retention index data