Disease variant prediction with deep generative models of evolutionary data.
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| Title: | Disease variant prediction with deep generative models of evolutionary data. |
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| Authors: | Frazer J; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Notin P; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK., Dias M; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Gomez A; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK., Min JK; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Brock K; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Gal Y; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK. yarin.gal@cs.ox.ac.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] 2021 Nov; Vol. 599 (7883), pp. 91-95. Date of Electronic Publication: 2021 Oct 27. |
| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34707284 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Disease variant prediction with deep generative models of evolutionary data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Frazer+J%22">Frazer J</searchLink>; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Notin+P%22">Notin P</searchLink>; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Dias+M%22">Dias M</searchLink>; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Gomez+A%22">Gomez A</searchLink>; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Min+JK%22">Min JK</searchLink>; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Brock+K%22">Brock K</searchLink>; Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Gal+Y%22">Gal Y</searchLink>; OATML Group, Department of Computer Science, University of Oxford, Oxford, UK. yarin.gal@cs.ox.ac.uk.<br /><searchLink fieldCode="AU" term="%22Marks+DS%22">Marks DS</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220410462%22">Nature</searchLink> [Nature] 2021 Nov; Vol. 599 (7883), pp. 91-95. <i>Date of Electronic Publication: </i>2021 Oct 27. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0410462 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-4687 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200280836%22">00280836 </searchLink><i>NLM ISO Abbreviation: </i>Nature <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34707284 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41586-021-04043-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 91 Titles: – TitleFull: Disease variant prediction with deep generative models of evolutionary data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Frazer J – PersonEntity: Name: NameFull: Notin P – PersonEntity: Name: NameFull: Dias M – PersonEntity: Name: NameFull: Gomez A – PersonEntity: Name: NameFull: Min JK – PersonEntity: Name: NameFull: Brock K – PersonEntity: Name: NameFull: Gal Y – PersonEntity: Name: NameFull: Marks DS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2021 Nov Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1476-4687 Numbering: – Type: volume Value: 599 – Type: issue Value: 7883 Titles: – TitleFull: Nature Type: main |
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