Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
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DOI: 10.1038/nbt.4061
Abstract: We present two algorithms to predict the activity of AsCpf1 guide RNAs. Indel frequencies for 15,000 target sequences were used in a deep-learning framework based on a convolutional neural network to train Seq-deepCpf1. We then… read more here.
Keywords: prediction crispr; learning improves; crispr cpf1; deep learning ... See more keywords