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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Bibliografski detalji
Izdano u:Cell Syst
Glavni autori: 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.
Format: Artigo
Jezik:Inglês
Izdano: 2017
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Article
Online pristup: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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