Computational flow cytometry: helping to make sense of high-dimensional immunology data

Nature Reviews Immunology 16, 449 (2016). doi:10.1038/nri.2016.56 Authors: Yvan Saeys, Sofie Van Gassen & Bart N. Lambrecht Recent advances in flow cytometry allow scientists to measure an increasing number of parameters per cell, generating huge and high-dimensional datasets. To analyse, visualize and interpret these data, newly available computational techniques should be adopted, evaluated and improved upon by the immunological community. Computational flow
Source: Nature Reviews Immunology - Category: Allergy & Immunology Authors: Tags: Review Source Type: research