Large language models of protein sequences are accurate, effective and general variant effect predictors

Nadav Brandes

Ye Lab, UCSF

Presentation Date: 9 January 2024

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Dr. Nadav Brandes obtained his PhD in Computer Science from the Hebrew University of Jerusalem, and is currently a Cancer Research Institute (CRI) and European Molecular Biology Organization (EMBO) postdoctoral fellow at University of California, San Francisco (UCSF). His research focuses on the development of machine and deep learning approaches to study the effect of genetic variation on human traits and diseases.

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