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ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions

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 (analysis usi...

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Vydáno v:mSystems
Hlavní autoři: Tan, Jie, Hammond, John H., Hogan, Deborah A., Greene, Casey S.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Society of Microbiology 2016
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5069748/
https://ncbi.nlm.nih.gov/pubmed/27822512
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1128/mSystems.00025-15
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