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SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with unparalleled generalization performance

2019-05-15

Abstract excerpt

We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing sgRNA-encoding and target sequence pairs. Deep learning-based training on this large data set of SpCas9-induced indel frequencies led to the development of a SpCas9-activity predicting model named DeepSpCas9. When tested against independently generated data sets (our own and those pub...

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Literature Corpus work
b79e69b9-6358-55c4-843b-4be32e02c003
DOI
10.1101/636472
Open publication

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SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with unparalleled generalization performanceDOI 10.1101/636472
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