Multivariate analysis of flow cytometric data using decision trees

Multivariate analysis of flow cytometric data using decision trees

Characterization of the response of the host immune system is important in understanding the bidirectional interactions between the host and microbial pathogens. For research on the host site, flow cytometry has become one of the major tools in immunology. Advances in technology and reagents allow n...

Full description

Bibliographic Details
Main Authors: Svenja eSimon, Reinhard eGuthke, Thomas eKamradt, Oliver eFrey
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-04-01
Series:Frontiers in Microbiology
Subjects:
Cytokines
Flow Cytometry
machine learning
imbalanced data
induction of decision trees
multidimensionality
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmicb.2012.00114/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fmicb.2012.00114/full

Similar Items