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Fig. 2 | Human Genomics

Fig. 2

From: A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants

Fig. 2

Violin plots depicting the distribution of each functionality class for certain in silico predictions tools, as suggested by the recursive feature elimination (RFE) procedure. The graphs show the distribution of values per each functionality class (“decreased,” “increased,” “no,” “normal”) for each one of the 7 RFE-suggested scores, which were used as the training features in the final classifier. These RFE-suggested scores are derived from LoFtool, DEOGEN2_score, MPC_score, BayesDel_addAF_score, integrated_fitCons_score, FATHMM_score, and LIST.S2_score

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