Bayesian pathway analysis of cancer microarray data.
High Throughput Biological Data (HTBD) requires detailed analysis methods and from a life science perspective, these analysis results make most sense when interpreted within the context of biological pathways. Bayesian Networks (BNs) capture both linear and nonlinear interactions and handle stochast...
Main Authors: | Melike Korucuoglu, Senol Isci, Arzucan Ozgur, Hasan H Otu |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4103872?pdf=render |
Similar Items
-
Bayesian models for DNA microarray data analysis
by: Lee, Kyeong Eun
Published: (2005) -
Some approaches to Bayesian design of experiments and microarray data analysis
by: Rossell, David
Published: (2009) -
BAMarray™: Java software for Bayesian analysis of variance for microarray data
by: Rao J Sunil, et al.
Published: (2006-02-01) -
BayGO: Bayesian analysis of ontology term enrichment in microarray data
by: Gomes Suely L, et al.
Published: (2006-02-01) -
Bayesian meta-analysis models for microarray data: a comparative study
by: Song Joon J, et al.
Published: (2007-03-01)