mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus—May the Data Be with You

Abstract

ABSTRACT Irene Ramos works in the field of immunology to viral infections. In this mSphere of Influence article, she reflects on how “Global analyses of human immune variation reveal baseline predictors of postvaccination responses” by Tsang et al. (Cell 157:499–513, 2014, https://doi.org/10.1016/j.cell.2014.03.031) and “A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection” by Fourati et al. (Nat Commun 9:4418, 2018, https://doi.org/10.1038/s41467-018-06735-8) made an impact on her by highlighting the importance of data science methods to understand virus-host interactions.

Keywords

• antibodies
• data science
• influenza vaccines
• influenza virus
• predictive modeling
• transcriptomics