VFNet is an end-to-end deep convolutional neural network model that can automatically learn expressive feature representations for classification of bacterial virulence factors.
VFNet is implemented in Python with Keras library and the TensorFlow backend.
Download source code and datasets of VFNet by clicking on the links below. All details are provided in Readme file. The source code is also available from github.
File
Format
Download
Python source code of VFNet
Readme
LICENSE
VFG-2706
VFG-740
VFG-564
VFG-2706-1066
VFG-2706-iid_train
VFG-2706-iid_indep
COG-755
Reference: Zheng D, Pang G, Liu B, Chen L, Yang J.
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors. 2020. Bioinformatics 36(12):3693-3702.
VFNet source code and dataset download
Reference: Zheng D, Pang G, Liu B, Chen L, Yang J.
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors. 2020. 