Author

F. Rizzato

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

L. Posani· 1 shared R. Monasson· 1 shared S. Cocco· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBiophysics

L. Posani

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1 paper

Recent·Most cited

Infer global, predict local: quantity-quality trade-off in protein fitness predictions from sequence data

L. Posani, F. Rizzato, R. Monasson, S. Cocco

The paper investigates whether more data or higher-quality data leads to better protein fitness predictions, showing that simple models with carefully selected data can outperform complex models trained on all data.

bioRxiv · Dec 12, 2022 · PreprintBiophysics