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. Author manuscript; available in PMC: 2019 Feb 4.
Published in final edited form as: Trends Mol Med. 2018 Feb 4;24(2):221–235. doi: 10.1016/j.molmed.2017.12.008

Figure 4. An Ensemble of Models to Define Biosignatures.

Figure 4

The rows highlight (unshaded) the sets of SNPs selected by different penalized regression algorithms applied to nicotine metabolism data. Shaded SNPs were not selected as predictors. While there are a core set of SNPs selected by all the approaches, there is diversity in the sets of SNPs selected among the models. We define the biosignature as the entire set of variants selected by any of the algorithms.