Cargando…
Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method
MOTIVATION: Gene Essentiality Analysis based on Flux Balance Analysis (FBA-based GEA) is a promising tool for the identification of novel metabolic therapeutic targets in cancer. The reconstruction of cancer-specific metabolic networks, typically based on gene expression data, constitutes a sensible...
Autores principales: | Tobalina, Luis, Pey, Jon, Rezola, Alberto, Planes, Francisco J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856428/ https://www.ncbi.nlm.nih.gov/pubmed/27145226 http://dx.doi.org/10.1371/journal.pone.0154583 |
Ejemplares similares
-
A network-based approach for predicting key enzymes explaining metabolite abundance alterations in a disease phenotype
por: Pey, Jon, et al.
Publicado: (2013) -
In-Silico Prediction of Key Metabolic Differences between Two Non-Small Cell Lung Cancer Subtypes
por: Rezola, Alberto, et al.
Publicado: (2014) -
Path finding methods accounting for stoichiometry in metabolic networks
por: Pey, Jon, et al.
Publicado: (2011) -
Validation of an FBA model for Pichia pastoris in chemostat cultures
por: Morales, Yeimy, et al.
Publicado: (2014) -
Fast Reconstruction of Compact Context-Specific Metabolic Network Models
por: Vlassis, Nikos, et al.
Publicado: (2014)