Your browser doesn't support javascript.
loading
Lack of ethnic diversity in single-cell transcriptomics hinders cell type detection and precision medicine inclusivity.
Kosaji, Noor; Zehra, Binte; Nassir, Nasna; Tambi, Richa; Orszulak, Adrian R; Lim, Elaine T; Berdiev, Bakhrom K; Woodbury-Smith, Marc; Uddin, Mohammed.
Afiliação
  • Kosaji N; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
  • Zehra B; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
  • Nassir N; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
  • Tambi R; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
  • Orszulak AR; Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA; Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
  • Lim ET; Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA; Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
  • Berdiev BK; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
  • Woodbury-Smith M; Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Uddin M; College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE; Cellular Intelligence (Ci) Lab, GenomeArc Inc., Toronto, ON, Canada. Electronic address: mohammed.uddin@mbru.ac.ae.
Med ; 4(4): 217-219, 2023 04 14.
Article em En | MEDLINE | ID: mdl-37060896
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Transcriptoma Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Med Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Transcriptoma Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Med Ano de publicação: 2023 Tipo de documento: Article