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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Curr Opin HIV AIDS. 2019 Jul;14(4):253–264. doi: 10.1097/COH.0000000000000558

Figure 2. Examples of humoral immune response analysis supported by machine learning.

Figure 2

Unsupervised methods (top) including principal component analysis (left), hierarchical clustering (center), and correlation networks (right) depict the main aspects of variation in, magnitudes of, and underlying relationships between humoral response features and subjects. Supervised methods (bottom) model how data can be used to predict parameters of interest, such as group (left), antibody activity (center), or challenge outcome (right).