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. 2023 Sep 20;51(19):10147–10161. doi: 10.1093/nar/gkad736

Figure 1.

Figure 1.

Explainable-AI method for analysis of feature importance on prediction of sgRNA efficiency. Features are formatted to generate a wide matrix with rows representing each sgRNA, corresponding experimental cutting efficiency scores and columns for all feature values. This information matrix is analyzed with an iterative Random Forest (iRF) method.