Supplementary Figure 14: Prediction features. | Nature Biotechnology

Supplementary Figure 14: Prediction features.

From: Large dataset enables prediction of repair after CRISPR–Cas9 editing in primary T cells

Supplementary Figure 14

The top table list all of the features used by SPROUT to predict frameshift, insertion, deletion and repair entropy. The gRNA and PAM were one-hot encoded as features. We also explored including additional chromatin features (second table). These features did not significant change SPROUT’s performance for these tasks and are not included in the final model. We have additionally explored using longer flanking sequence (up to 50bp) and DNA melting temperature as features. They did not improve SPROUT’s performance and are not used in the model.

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