Phylogenetic convolutional neural networks in metagenomics

Phylogenetic convolutional neural networks in metagenomics

Abstract Background Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels in images. We introduce here Ph-CNN, a novel deep learning architecture for the classification of metagenomics...

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Bibliographic Details
Main Authors: Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Metagenomics
Deep learning
Convolutional neural networks
Phylogenetic trees
Online Access:http://link.springer.com/article/10.1186/s12859-018-2033-5

Internet

http://link.springer.com/article/10.1186/s12859-018-2033-5

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