Using multiplexed functional data to reduce variant classification inequities in underrepresented populations

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Using multiplexed functional data to reduce variant classification inequities in underrepresented populations ; volume:16 ; number:1 ; day:3 ; month:12 ; year:2024 ; pages:1-16 ; date:12.2024
Genome medicine ; 16, Heft 1 (3.12.2024), 1-16, 12.2024

Creator: Dawood, Moez
Fayer, Shawn
Pendyala, Sriram
Post, Mason
Kalra, Divya
Patterson, Karynne
Venner, Eric
Muffley, Lara A.
Fowler, Douglas M.
Rubin, Alan F.
Posey, Jennifer E.
Plon, Sharon E.
Lupski, James R.
Gibbs, Richard A.
Starita, Lea M.
Robles-Espinoza, Carla Daniela
Coyote-Maestas, Willow
Gallego Romero, Irene

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13073-024-01392-7

URN: urn:nbn:de:101:1-2502172159399.407530292380

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 23.03.0009, 6:25 AM CET

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Associated

Dawood, Moez
Fayer, Shawn
Pendyala, Sriram
Post, Mason
Kalra, Divya
Patterson, Karynne
Venner, Eric
Muffley, Lara A.
Fowler, Douglas M.
Rubin, Alan F.
Posey, Jennifer E.
Plon, Sharon E.
Lupski, James R.
Gibbs, Richard A.
Starita, Lea M.
Robles-Espinoza, Carla Daniela
Coyote-Maestas, Willow
Gallego Romero, Irene
SpringerLink (Online service)

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Using multiplexed functional data to reduce variant classification inequities in underrepresented populations

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Other Objects (12)

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