Research Article

ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors

Table 1

Comparison with mainstream deep-learning methods.

Method

ACNNT30.9190.9440.9670.9220.968
DenseNet0.8500.9070.9420.8700.951
VGG160.8460.8920.9340.8470.937
ResNet0.6090.6910.8380.5520.795
CNN0.7800.8420.9010.7760.904
LSTM0.8750.9330.9590.9090.961

The bold values indicate the best prediction results.