Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding

Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding

Convolutional neural network (CNN) based methods have outperformed conventional machine learning methods in predicting the binding preference of DNA-protein binding. Although studies in the past have shown that more convolutional kernels help to achieve better performance, visualization of the model...

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Bibliographic Details
Main Authors: Xiao Luo, Weilai Chi, Minghua Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Genetics
Subjects:
deep neural networks
motif inference
network pruning
convolutional neural networks
interpretation
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01145/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.01145/full

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