A Beginner's Guide to Analyzing and Visualizing Mass Cytometry Data.

ABSTRACT: Mass cytometry has revolutionized the study of cellular and phenotypic diversity, significantly expanding the number of phenotypic and functional characteristics that can be measured at the single-cell level. This high-dimensional analysis platform has necessitated the development of new data analysis approaches. Many of these algorithms circumvent traditional approaches used in flow cytometric analysis, fundamentally changing the way these data are analyzed and interpreted. For the beginner, however, the large number of algorithms that have been developed, as well as the lack of consensus on best practices for analyzing these data, raise multiple questions: Which algorithm is the best for analyzing a dataset? How do different algorithms compare? How can one move beyond data visualization

SUBMITTER: Kimball AK 

PROVIDER: S-EPMC5765874 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature