Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

8 Aug 2017Randal S. OlsonWilliam La CavaZairah MustahsanAkshay VarikJason H. Moore

As the bioinformatics field grows, it must keep pace not only with new data but with new algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used machine learning algorithms on a set of 165 publicly available classification problems in order to provide data-driven algorithm recommendations to current researchers... (read more)

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