Article

Using Interpretable Machine Learning to Massively Increase the Number of Antibody-Virus Interactions Across Studies

2022-06-12

Abstract excerpt

A central challenge in every field of biology is to use existing measurements to predict the outcomes of future experiments. In this work, we consider the wealth of antibody inhibition data against variants of the influenza virus. Due to this virus’s genetic diversity and evolvability, the variants examined in one study will often have little-to-no overlap with other studies, making it difficult to discern common...

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Literature Corpus work: dd061e3c-1a17-5785-8396-02c01e073187
DOI: 10.1101/2022.06.09.495425

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