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Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data.

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Title: Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data.
Authors: Posani, Lorenzo1 (AUTHOR) lorenzo.posani@gmail.com, Rizzato, Francesca1 (AUTHOR), Monasson, Rémi1 (AUTHOR), Cocco, Simona1 (AUTHOR) lorenzo.posani@gmail.com
Source: PLoS Computational Biology. 10/26/2023, Vol. 19 Issue 10, p1-22. 22p. 1 Diagram, 1 Chart, 4 Graphs.
Database: Academic Search Ultimate
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  Data: Infer global, predict local: Quantity-relevance trade-off in protein fitness predictions from sequence data.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 10/26/2023, Vol. 19 Issue 10, p1-22. 22p. 1 Diagram, 1 Chart, 4 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=173236219
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        Value: 10.1371/journal.pcbi.1011521
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        Text: English
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              Text: 10/26/2023
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