Figure 4. Immune repertoire and deep learning model analysis.

A. Overview of experimental workflow for B and T cell sequencing experiments. After cells are sorted and analyzed on a sequencer, deep learning models can make predictions on various aspects of the immune repertoire. B. Simplified schematic of technology development for sequencing B cells and T cells. C. Over time, sequencing data has continued to accrue with a corresponding growth in deep learning models with improved performance. This figure was created using BioRender (https://biorender.com/)