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Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Selection protocols such as SELEX, where molecules are selected over multiple rounds for their ability to bind to a target of interest, are popular methods for obtaining binders for diagnostic and therapeutic purposes. We show that Restricted Boltzmann Machines (RBMs), an unsupervised two-layer neur...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553063/ https://www.ncbi.nlm.nih.gov/pubmed/36174101 http://dx.doi.org/10.1371/journal.pcbi.1010561 |