Systematic identification of non-coding pharmacogenomic landscape in cancer
In this study the authors build lncRNA-drug response models for 265 anti-cancer agents across 27 cancer types. They report their cancer cell line based lncRNA EN-models are able to effectively predict therapeutic outcome for breast cancer, ovarian cancer, endometrial cancer and stomach cancer patien...
Guardado en:
Autores principales: | Yue Wang, Zehua Wang, Jieni Xu, Jiang Li, Song Li, Min Zhang, Da Yang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fee06fe94cdb4d0d90df7243859b2fbc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Molecular landscape and subtype-specific therapeutic response of nasopharyngeal carcinoma revealed by integrative pharmacogenomics
por: Ren-Bo Ding, et al.
Publicado: (2021) -
Pharmacogenomics and Rheumatological Practice
por: Chuanhui Xu, et al.
Publicado: (2021) -
Systematic and computational identification of Androctonus crassicauda long non-coding RNAs
por: Fatemeh Salabi, et al.
Publicado: (2021) -
Editorial: NSAIDs Pharmacogenomics
por: José A. G. Agúndez, et al.
Publicado: (2021) -
The pharmacogenomics journal
Publicado: (2001)