Cargando…
A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
BACKGROUND: We have identified molecules that exhibit synthetic lethality in cells with loss of the neurofibromin 1 (NF1) tumor suppressor gene. However, recognizing tumors that have inactivation of the NF1 tumor suppressor function is challenging because the loss may occur via mechanisms that do no...
Autores principales: | Way, Gregory P., Allaway, Robert J., Bouley, Stephanie J., Fadul, Camilo E., Sanchez, Yolanda, Greene, Casey S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292791/ https://www.ncbi.nlm.nih.gov/pubmed/28166733 http://dx.doi.org/10.1186/s12864-017-3519-7 |
Ejemplares similares
-
Exploiting mitochondrial and metabolic homeostasis as a vulnerability in NF1 deficient cells
por: Allaway, Robert J., et al.
Publicado: (2017) -
Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data
por: Akter, Sadia, et al.
Publicado: (2019) -
iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes
por: Ensenyat-Mendez, Miquel, et al.
Publicado: (2021) -
Correction to: iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes
por: Ensenyat-Mendez, Miquel, et al.
Publicado: (2021) -
PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia
por: Chen, Kathleen M., et al.
Publicado: (2018)