Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data ; volume:11 ; number:1 ; day:21 ; month:12 ; year:2023 ; pages:1-20 ; date:12.2023
Acta Neuropathologica Communications ; 11, Heft 1 (21.12.2023), 1-20, 12.2023
- Urheber
-
Marriott, Heather
Kabiljo, Renata
Hunt, Guy P.
Khleifat, Ahmad Al
Jones, Ashley
Troakes, Claire
Pfaff, Abigail L.
Quinn, John P.
Koks, Sulev
Dobson, Richard J.
Schwab, Patrick
Al-Chalabi, Ammar
Iacoangeli, Alfredo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s40478-023-01686-8
- URN
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urn:nbn:de:101:1-2024030613550338668726
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
Datenpartner
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Beteiligte
- Marriott, Heather
- Kabiljo, Renata
- Hunt, Guy P.
- Khleifat, Ahmad Al
- Jones, Ashley
- Troakes, Claire
- Pfaff, Abigail L.
- Quinn, John P.
- Koks, Sulev
- Dobson, Richard J.
- Schwab, Patrick
- Al-Chalabi, Ammar
- Iacoangeli, Alfredo
- SpringerLink (Online service)
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