iGATE analysis improves the interpretability of single-cell immune landscape of influenza infection

Aug 6, 2024

Authors: Akira Ono,

Fei Wen, in collaboration with MCIDT affiliate Akira Ono, developed in silico gating annotating training elucidating (iGATE), a machine-learning approach to understanding how host factors/aging affect the single-cell immune landscape of influenza infection

Key Terms: Machine Learning, Influenza, Host Factors

Graphical abstract of the analysis of cell types and the impacts of host factors on viral infections