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. Author manuscript; available in PMC: 2018 Jul 9.
Published in final edited form as: Nat Biomed Eng. 2018 Jan 10;2(1):38–47. doi: 10.1038/s41551-017-0178-6

Figure 6. Aggregator feature importances.

Figure 6

Weights from aggregator model in Elevation which uses Gradient Boosted regression trees. The features were: the mean; median, variance (var), standard deviation (std), 99th, 95th, 90th percentiles, and sum of the Elevation gRNA-target scores for each gRNA. We compute these for each of: all off-targets (no postfix), only genic off-targets (“genic”), and only non-genic targets (“non-genic”), where is-genic is obtained from ENSEMBL.37 Additionally, we compute these further features: fraction of targets that are genic; fraction that are non-genic; ratio of number of genic to non-genic targets; ratio of mean genic to non-genic score. The Gini importance is described in Methods.