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Un-biased housekeeping gene panel selection for high-validity gene expression analysis.
Casas, Ana I; Hassan, Ahmed A; Manz, Quirin; Wiwie, Christian; Kleikers, Pamela; Egea, Javier; López, Manuela G; List, Markus; Baumbach, Jan; Schmidt, Harald H H W.
Afiliación
  • Casas AI; Department of Neurology and Center for Translational Neuro- and Behavioural Sciences (C-TNBS), University Clinics Essen, Essen, Germany. anaisabel.casasguijarro@uk-essen.de.
  • Hassan AA; Department of Pharmacology & Personalised Medicine, MeHNS, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands. anaisabel.casasguijarro@uk-essen.de.
  • Manz Q; Department of Pharmacology & Personalised Medicine, MeHNS, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
  • Wiwie C; Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Hamburg, Germany.
  • Kleikers P; Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
  • Egea J; Department of Pharmacology & Personalised Medicine, MeHNS, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
  • López MG; Molecular Neuroinflammation and Neuronal Plasticity Research Laboratory, Hospital Universitario Santa Cristina, Instituto de Investigación Sanitaria-Hospital Universitario de la Princesa, Madrid, Spain.
  • List M; Departamento de Farmacología, Instituto de I+D del Medicamento Teófilo Hernando (ITH), Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
  • Baumbach J; Departamento de Farmacología, Instituto de I+D del Medicamento Teófilo Hernando (ITH), Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
  • Schmidt HHHW; Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
Sci Rep ; 12(1): 12324, 2022 07 19.
Article en En | MEDLINE | ID: mdl-35853974
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hipoxia Encefálica / Genes Esenciales Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Alemania
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Hipoxia Encefálica / Genes Esenciales Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Alemania