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Analyzing Antibody Repertoire Using Next-Generation Sequencing and Machine Learning.

In Methods in molecular biology (Clifton, N.J.)

Advances in high-throughput sequencing technologies have enabled comprehensive sequencing of the immune repertoire. Since repertoire analysis can help to explain the relationship between the immune system and diseases, several methods have been developed for repertoire analysis. Here, using simulated and real-world datasets, we describe how to use DeepRC, a method that applies cutting-edge machine learning techniques.

Hayashi Shuto, Ishikawa Shumpei

2023

Classification, Deep learning, Machine learning, Next-generation sequencing, Repertoire analysis