Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model

Title
Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model
Authors
Keywords
Yeast, Transcription, Gene expression, Transcriptomic machinery, Signal transduction, Deep learning, Deep hierarchical neural network, Unsupervised learning, Data mining
Journal
BMC BIOINFORMATICS
Volume 17, Issue S1, Pages -
Publisher
Springer Nature
Online
2016-01-11
DOI
10.1186/s12859-015-0852-1

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