Using single-cell multiple omics approaches to resolve tumor heterogeneity.

Ortega, Michael A; Poirion, Olivier; Zhu, Xun; Huang, Sijia; Wolfgruber, Thomas K; Sebra, Robert; Garmire, Lana X

Ortega, Michael A; Poirion, Olivier; Zhu, Xun; Huang, Sijia; Wolfgruber, Thomas K; Sebra, Robert; Garmire, Lana X.

Afiliación

Ortega MA; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Poirion O; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Zhu X; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Huang S; Department of Molecular Biosciences and Bioengineering, Honolulu, HI, USA.
Wolfgruber TK; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Sebra R; Department of Molecular Biosciences and Bioengineering, Honolulu, HI, USA.
Garmire LX; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.

Clin Transl Med ; 6(1): 46, 2017 Dec 28.

Article en En | MEDLINE | ID: mdl-29285690

Palabras clave

Cancer; Gene expression; Heterogeneity; Methylation; Multi-omics; Mutation; Single-cell sequencing

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Transl Med Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google