Sensitive detection of rare disease-associated cell subsets via representation learning

While rare cell subpopulations frequently make the difference between health and disease, their detection remains a challenge. Here, the authors devise CellCnn, a representation learning approach to detecting such rare cell populations from high-dimensional single cell data, and, among other example...

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Autores principales: Eirini Arvaniti, Manfred Claassen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/252419b4dcba439fba6a1a58ee8e5a66
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