Cargando…
A network model for angiogenesis in ovarian cancer
BACKGROUND: We recently identified two robust ovarian cancer subtypes, defined by the expression of genes involved in angiogenesis, with significant differences in clinical outcome. To identify potential regulatory mechanisms that distinguish the subtypes we applied PANDA, a method that uses an inte...
Autores principales: | Glass, Kimberly, Quackenbush, John, Spentzos, Dimitrios, Haibe-Kains, Benjamin, Yuan, Guo-Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408593/ https://www.ncbi.nlm.nih.gov/pubmed/25888305 http://dx.doi.org/10.1186/s12859-015-0551-y |
Ejemplares similares
-
Stem Cell-Like Gene Expression in Ovarian Cancer Predicts Type II Subtype and Prognosis
por: Schwede, Matthew, et al.
Publicado: (2013) -
Relevance of different prior knowledge sources for inferring gene interaction networks
por: Olsen, Catharina, et al.
Publicado: (2014) -
Predictive networks: a flexible, open source, web application for integration and analysis of human gene networks
por: Haibe-Kains, Benjamin, et al.
Publicado: (2012) -
Multiple-input multiple-output causal strategies for gene selection
por: Bontempi, Gianluca, et al.
Publicado: (2011) -
Untangling statistical and biological models to understand network inference: the need for a genomics network ontology
por: Emmert-Streib, Frank, et al.
Publicado: (2014)