Cargando…
Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network
BACKGROUND: Discovering robust markers for cancer prognosis based on gene expression data is an important yet challenging problem in translational bioinformatics. By integrating additional information in biological pathways or a protein-protein interaction (PPI) network, we can find better biomarker...
Autores principales: | Khunlertgit, Navadon, Yoon, Byung-Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073942/ https://www.ncbi.nlm.nih.gov/pubmed/27766944 http://dx.doi.org/10.1186/s12859-016-1224-1 |
Ejemplares similares
-
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis
por: Khunlertgit, Navadon, et al.
Publicado: (2014) -
Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network
por: Su, Junjie, et al.
Publicado: (2010) -
Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference
por: Khunlertgit, Navadon, et al.
Publicado: (2013) -
Identifying stage-specific protein subnetworks for colorectal cancer
por: Erten, Sinan, et al.
Publicado: (2012) -
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
por: Kim, Mansuck, et al.
Publicado: (2015)