Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix ; volume:24 ; number:1 ; day:21 ; month:7 ; year:2023 ; pages:1-35 ; date:12.2023
Genome biology ; 24, Heft 1 (21.7.2023), 1-35, 12.2023

Creator: Trinidad, Marena
Hong, Xinying
Froelich, Steven
Daiker, Jessica
Sacco, James
Nguyen, Hong Phuc
Campagna, Madelynn
Suhr, Dean
Suhr, Teryn
LeBowitz, Jonathan H.
Gelb, Michael H.
Clark, Wyatt T.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13059-023-03001-z

URN: urn:nbn:de:101:1-2023102516515375441322

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

Last update: 14.08.2025, 10:56 AM CEST

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Associated

Trinidad, Marena
Hong, Xinying
Froelich, Steven
Daiker, Jessica
Sacco, James
Nguyen, Hong Phuc
Campagna, Madelynn
Suhr, Dean
Suhr, Teryn
LeBowitz, Jonathan H.
Gelb, Michael H.
Clark, Wyatt T.
SpringerLink (Online service)

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Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

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