ADAGE-Based Integration of Publicly Available <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content> Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions

ADAGE-Based Integration of Publicly Available <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content> Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions

ABSTRACT The increasing number of genome-wide assays of gene expression available from public databases presents opportunities for computational methods that facilitate hypothesis generation and biological interpretation of these data. We present an unsupervised machine learning approach, ADAGE (ana...

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Bibliographic Details
Main Authors: Jie Tan, John H. Hammond, Deborah A. Hogan, Casey S. Greene
Format: article
Language:EN
Published: American Society for Microbiology 2016
Subjects:
genomics
denoising autoencoders
bioinformatics
gene expression
data integration
Microbiology
QR1-502
Online Access:https://doaj.org/article/6302ee5df2c54f00b17cb9e00f11de5d
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