Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system.

Xu, Congmin; Yang, Junkai; Kosters, Astrid; Babcock, Benjamin R; Qiu, Peng; Ghosn, Eliver E B

Xu, Congmin; Yang, Junkai; Kosters, Astrid; Babcock, Benjamin R; Qiu, Peng; Ghosn, Eliver E B.

Afiliación

Xu C; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Yang J; Department of Medicine, Division of Immunology, Lowance Center for Human Immunology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Kosters A; Department of Medicine, Division of Immunology, Lowance Center for Human Immunology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Babcock BR; Department of Medicine, Division of Immunology, Lowance Center for Human Immunology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Qiu P; Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Ghosn EEB; Department of Medicine, Division of Immunology, Lowance Center for Human Immunology, Emory University School of Medicine, Atlanta, GA 30322, USA.

iScience ; 25(10): 105123, 2022 Oct 21.

Article en En | MEDLINE | ID: mdl-36185375

Palabras clave

Biocomputational method; Omics; Systems biology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IScience Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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