Cargando…
Denoising perturbation signatures reveal an actionable AKT-signaling gene module underlying a poor clinical outcome in endocrine-treated ER+ breast cancer
BACKGROUND: Databases of perturbation gene expression signatures and drug sensitivity provide a powerful framework to develop personalized medicine approaches, by helping to identify actionable genomic markers and subgroups of patients who may benefit from targeted treatments. RESULTS: Here we use a...
Autores principales: | Teschendorff, Andrew E, Li, Linlin, Yang, Zhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4399757/ https://www.ncbi.nlm.nih.gov/pubmed/25886003 http://dx.doi.org/10.1186/s13059-015-0630-4 |
Ejemplares similares
-
An estrogen receptor (ER)‐related signature in predicting prognosis of ER‐positive breast cancer following endocrine treatment
por: Tang, Jianing, et al.
Publicado: (2019) -
Poor communication between ER and mitochondria: a signature of ALS/FTD?
por: Miller, Christopher C.J., et al.
Publicado: (2023) -
Prognostic Significance of High Expression of ER-beta in Surgically Treated ER-Positive Breast Cancer Following Endocrine Therapy
por: Kim, Tae-Jung, et al.
Publicado: (2012) -
Adversarial Gaussian Denoiser for Multiple-Level Image Denoising
por: Khan, Aamir, et al.
Publicado: (2021) -
DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inference
por: Jiao, Yan, et al.
Publicado: (2011)