ProteinBERT: a universal deep-learning model of protein sequence and function
2022 · Bioinformatics · 908 citations
https://doi.org/10.1093/bioinformatics/btac020
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Nadav Brandes
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Nadav Brandes is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Genetic Associations and Epidemiology & Genomics and Rare Diseases & Genomics and Phylogenetic Studies. The author has an h-index of 15, co-authored 52 publications.
ORCID: 0000-0002-0510-2546Papers by this author
worksGenome-wide prediction of disease variant effects with a deep protein language model
2023 · Nature Genetics · 411 citations
https://doi.org/10.1038/s41588-023-01465-0
The language of proteins: NLP, machine learning & protein sequences
2021 · Computational and Structural Biotechnology Journal · 374 citations
https://doi.org/10.1016/j.csbj.2021.03.022
PWAS: proteome-wide association study—linking genes and phenotypes by functional variation in proteins
2020 · Genome biology · 129 citations
https://doi.org/10.1186/s13059-020-02089-x
Open problems in human trait genetics
2022 · Genome biology · 79 citations
https://doi.org/10.1186/s13059-022-02697-9
Gene overlapping and size constraints in the viral world
2016 · Biology Direct · 70 citations
https://doi.org/10.1186/s13062-016-0128-3
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