Pan-cancer analysis of transcriptional metabolic dysregulation using The Cancer Genome Atlas
Metabolism is frequently dysregulated in cancer. Here, the authors conduct a pan-cancer analysis of The Cancer Genome Atlas to determine significant metabolic pathway alterations, highlight master metabolic transcriptional regulators, and predict patient response to metabolism targeted-therapeutics
Guardado en:
Autores principales: | S. R. Rosario, M. D. Long, H. C. Affronti, A. M. Rowsam, K. H. Eng, D. J. Smiraglia |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/ce96fd232aac40bf8ffdc092b138dab3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Feature selection and survival modeling in The Cancer Genome Atlas
por: Kim H, et al.
Publicado: (2013) -
Identification of Transcriptional Metabolic Dysregulation in Subtypes of Pituitary Adenoma by Integrated Bioinformatics Analysis
por: Hu J, et al.
Publicado: (2019) -
Pan-cancer proteogenomic investigations identify post-transcriptional kinase targets
por: Abdulkadir Elmas, et al.
Publicado: (2021) -
Pan-cancer analysis of neoepitopes
por: Gabriel N. Teku, et al.
Publicado: (2018) -
Chromatin dysregulation and DNA methylation at transcription start sites associated with transcriptional repression in cancers
por: Mizuo Ando, et al.
Publicado: (2019)