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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Detalles Bibliográficos
Autores principales: Tan, Jie, Hammond, John H., Hogan, Deborah A., Greene, Casey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Microbiology 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069748/
https://www.ncbi.nlm.nih.gov/pubmed/27822512
http://dx.doi.org/10.1128/mSystems.00025-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069748/
https://www.ncbi.nlm.nih.gov/pubmed/27822512
http://dx.doi.org/10.1128/mSystems.00025-15

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