Unsupervised extraction of stable expression signatures from public compendia with an ensemble of neural networks

Cross experiment comparisons in public data compendia are challenged by unmatched conditions and technical noise. The ADAGE method, which performs unsupervised integration with denoising autoencoder neural networks, can identify biological patterns, but because ADAGE models, like many neural network...

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Detalles Bibliográficos
Publicado en:Cell Syst
Autores principales: Tan, Jie, Doing, Georgia, Lewis, Kimberley A., Price, Courtney E., Chen, Kathleen M., Cady, Kyle C., Perchuk, Barret, Laub, Michael T., Hogan, Deborah A., Greene, Casey S.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2017
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5532071/
https://ncbi.nlm.nih.gov/pubmed/28711280
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2017.06.003
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