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Interpretable Autoencoders Trained on Single Cell Sequencing Data Can Transfer Directly to Data from Unseen Tissues

Autoencoders have been used to model single-cell mRNA-sequencing data with the purpose of denoising, visualization, data simulation, and dimensionality reduction. We, and others, have shown that autoencoders can be explainable models and interpreted in terms of biology. Here, we show that such autoe...

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Detalles Bibliográficos
Autores principales: Walbech, Julie Sparholt, Kinalis, Savvas, Winther, Ole, Nielsen, Finn Cilius, Bagger, Frederik Otzen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750521/
https://www.ncbi.nlm.nih.gov/pubmed/35011647
http://dx.doi.org/10.3390/cells11010085

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