Bridging the gap between cancer cell line models and tumours using gene expression data.
Br J Cancer
; 125(3): 311-312, 2021 08.
Article
em En
| MEDLINE
| ID: mdl-33782565
Cancer cell line models are a cornerstone of cancer research, yet our understanding of how well they represent the molecular features of patient tumours remains limited. Our recent work provides a computational approach to systematically compare large gene expression datasets to better understand which cell lines most closely resemble each tumour type, as well as identify potential gaps in our current cancer models.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
Modelos Biológicos
/
Neoplasias
Limite:
Humans
Idioma:
En
Revista:
Br J Cancer
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Estados Unidos