Epigenetic machine learning: utilizing DNA methylation patterns to predict spastic cerebral palsy
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Epigenetic machine learning: utilizing DNA methylation patterns to predict spastic cerebral palsy ; volume:19 ; number:1 ; day:21 ; month:6 ; year:2018 ; pages:1-10 ; date:12.2018
BMC bioinformatics ; 19, Heft 1 (21.6.2018), 1-10, 12.2018
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
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Crowgey, Erin L.
- Beteiligte Personen und Organisationen
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Marsh, Adam G.
Robinson, Karyn G.
Yeager, Stephanie K.
Akins, Robert E.
SpringerLink (Online service)
- DOI
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10.1186/s12859-018-2224-0
- URN
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urn:nbn:de:101:1-2018082223482983001275
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
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Beteiligte
- Crowgey, Erin L.
- Marsh, Adam G.
- Robinson, Karyn G.
- Yeager, Stephanie K.
- Akins, Robert E.
- SpringerLink (Online service)
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Reliability of Ashworth and Modified Ashworth Scales in Children with Spastic Cerebral Palsy
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Altered sense of Agency in children with spastic cerebral palsy
Intramuscular fat in ambulant young adults with bilateral spastic cerebral palsy
Hip dysplasia among children with spastic cerebral palsy in rural Bangladesh
Bimanual coordination during a physically coupled task in unilateral spastic cerebral palsy children
Reliability of Ashworth and Modified Ashworth Scales in Children with Spastic Cerebral Palsy
Ultrasound findings in painful spastic hip. Muscle thickness in children with cerebral palsy
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Psychometric properties of the Edinburgh Visual Gait Score in children with spastic cerebral palsy
Knowledge mapping of spastic cerebral palsy. A bibliometric analysis of global research (2000–2022)