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Maximum likelihood factor analysis in malaria cytokines analysis and modelling

Author
Oliveras, A.
Type of activity
Presentation of work at congresses
Name of edition
IEEE International Workshop on Genomic Signal Processing and Statistics
Date of publication
2009
Presentation's date
2009-05-18
Book of congress proceedings
IEEE International Workshop on Genomic Signal Processing and Statistics, 2009
Publisher
IEEE Press. Institute of Electrical and Electronics Engineers
Repository
http://hdl.handle.net/2117/6786 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5174320&arnumber=5174336&count=57&index=14 Open in new window
Abstract
A maximum likelihood factor analysis (MLFA) of the dynamics of the human immune system in malaria, based on the observation of a few cytokine in plasma, suggests that an increased overproduction of cytokines: IL-12, IL-6, IFN-gamma, IL-2, and IL-5, over the cytokines: TGF-beta, TNF-alpha, IL-10 and IL-1beta has protective effects against severe malaria and cerebral malaria. According to a simplified model of the human adaptive immunity and the MLFA results, basal levels of cytokine IL-6 may play...
Citation
Oliveras, A. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. A: IEEE International Workshop on Genomic Signal Processing and Statistics. "IEEE International Workshop on Genomic Signal Processing and Statistics". Minneapolis, Minnesota: IEEE Press. Institute of Electrical and Electronics Engineers, 2009.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

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