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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Bibliographic Details
Main Authors: Eirini Arvaniti, Manfred Claassen
Format: Article
Language:English
Published: Nature Publishing Group 2017-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms14825