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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Detalhes bibliográficos
Publicado no:Cell Syst
Main Authors: 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
Idioma:Inglês
Publicado em: 2017
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Article
Acesso em linha: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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