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Machine learning applied to atopic dermatitis transcriptome reveals distinct therapy-dependent modification of the keratinocyte immunophenotype.
Clayton, K; Vallejo, A; Sirvent, S; Davies, J; Porter, G; Reading, I C; Lim, F; Ardern-Jones, M R; Polak, M E.
Afiliação
  • Clayton K; Department of Clinical and Experimental Sciences (Sir Henry Wellcome Laboratories, Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
  • Vallejo A; Department of Clinical and Experimental Sciences (Sir Henry Wellcome Laboratories, Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
  • Sirvent S; Department of Clinical and Experimental Sciences (Sir Henry Wellcome Laboratories, Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
  • Davies J; Department of Clinical and Experimental Sciences (Sir Henry Wellcome Laboratories, Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
  • Porter G; Department of Clinical and Experimental Sciences (Sir Henry Wellcome Laboratories, Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
  • Reading IC; Department of Primary Care and Population Sciences (Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
  • Lim F; NIHR, Research Design Service South Central, Southampton, Hants, UK.
  • Ardern-Jones MR; Unilever Research, Colworth Science Park, Sharnbrook, Bedfordshire, UK.
  • Polak ME; Department of Clinical and Experimental Sciences (Sir Henry Wellcome Laboratories, Faculty of Medicine), University of Southampton, Southampton, Hants, UK.
Br J Dermatol ; 184(5): 913-922, 2021 05.
Article em En | MEDLINE | ID: mdl-32730675

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dermatite Atópica Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dermatite Atópica Idioma: En Ano de publicação: 2021 Tipo de documento: Article