Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitatively characterize cells associated with disease progression or clinical response. With repeated sampling, immune monitoring creates a real-time portrait of the cells reacting to a novel virus before di...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2021-08-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/64653 |