Skip to main content
. Author manuscript; available in PMC: 2019 Aug 1.
Published in final edited form as: Curr Opin Biotechnol. 2018 Apr 12;52:109–115. doi: 10.1016/j.copbio.2018.03.009

Figure 1.

Figure 1

Quantitative analyses shift the interpretation of large-scale systems datasets towards higher-order biological and mechanistic insights. The collection of high-dimensional datasets (left) can be computationally analyzed to characterize immune cells by their associated phenotypes and functions, map intracellular and extracellular signaling network influences, and connect biological states with outcomes (for example, disease status) (middle). These findings can be translated to identify new therapeutic targets to prime the immune system for antiviral and anti-tumor responses.