Visualizing complex feature interactions and feature sharing in genomic deep neural networks

Visualizing complex feature interactions and feature sharing in genomic deep neural networks

Abstract Background Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a network’s response to specific input exa...

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Bibliographic Details
Main Authors: Ge Liu, Haoyang Zeng, David K. Gifford
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Bioinformatics
Subjects:
Visualization
Deep neural networks
Combinatorial interactions
Online Access:http://link.springer.com/article/10.1186/s12859-019-2957-4

Internet

http://link.springer.com/article/10.1186/s12859-019-2957-4

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