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Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection

2022-03-14

Abstract excerpt

Selection protocols such as SELEX, where molecules are selected over multiple rounds for their ability to bind to a target molecule of interest, are popular methods for obtaining binders for diagnostic and therapeutic purposes. With the increasing amount of such high-throughput experimental data available, machine learning techniques have become increasingly popular for molecular datasets analysis. Here, we show t...

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Literature Corpus work
c770ff03-4831-50a9-82f4-dfb40c5c2b67
DOI
10.1101/2022.03.12.484094
Open publication

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Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selectionDOI 10.1101/2022.03.12.484094
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