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Table 1 Brief network framework description of several pre-selected models

From: Deep learning improves the ability of sgRNA off-target propensity prediction

Model_Name

Description

CnnCrispr

The final model including all units we mentioned

CnnCrispr_NoLSTM

Without biLSTM layer

CnnCrispr_Conv_LSTM

Reverse the order of the convolution layer and the recurrent layer

CnnCrispr_NoBatchNor

Without Batch Normalization layer

CnnCrispr_NoDropout

Without Dropout layer

  1. CnnCrispr is the benchmark model. On this basis, some parts were removed to obtain the comparison models. With the exception of parts mentioned in the description, the structure of the contrast model was completely consistent with the benchmark model. The CnnCrispr_Conv_LSTM model replaced the sequence of convolutional layers and recurrent layer to compare the influence of network sequence on the prediction results
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BMC Bioinformatics

ISSN: 1471-2105

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