Learning from prepandemic data to forecast viral escape.
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| Title: | Learning from prepandemic data to forecast viral escape. |
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| Authors: | Thadani NN; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Gurev S; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA., Notin P; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK., Youssef N; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Rollins NJ; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.; Seismic Therapeutic, Watertown, MA, USA., Ritter D; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Sander C; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.; Broad Institute of Harvard and MIT, Cambridge, MA, USA., Gal Y; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK., Marks DS; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA. debbie@hms.harvard.edu.; Broad Institute of Harvard and MIT, Cambridge, MA, USA. debbie@hms.harvard.edu. |
| Source: | Nature [Nature] 2023 Oct; Vol. 622 (7984), pp. 818-825. Date of Electronic Publication: 2023 Oct 11. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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