Scientific Publications

Human systems immunology: Hypothesis-based modeling and unbiased data-driven approaches.

Publication TypeJournal Article
AuthorsArazi, A., Pendergraft WF 3rd, Ribeiro RM, Perelson AS, and Hacohen N.
AbstractSystems immunology is an emerging paradigm that aims at a more systematic and quantitative understanding of the immune system. Two major approaches have been utilized to date in this field: unbiased data-driven modeling to comprehensively identify molecular and cellular components of a system and their interactions; and hypothesis-based quantitative modeling to understand the operating principles of a system by extracting a minimal set of variables and rules underlying them. In this review, we describe applications of the two approaches to the study of viral infections and autoimmune diseases in humans, and discuss possible ways by which these two approaches can synergize when applied to human immunology.
Year of Publication2013
JournalSeminars in immunology
Date Published (YYYY/MM/DD)2013/01/29
ISSN Number1044-5323
DOI10.1016/j.smim.2012.11.003
PubMedhttp://www.ncbi.nlm.nih.gov/pubmed/23375135?dopt=Abstract