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BMCBI
2008
159views more  BMCBI 2008»
13 years 6 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
BMCBI
2007
168views more  BMCBI 2007»
13 years 6 months ago
Bayesian model-based inference of transcription factor activity
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
Simon Rogers, Raya Khanin, Mark Girolami
RECOMB
2000
Springer
13 years 10 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
JCB
2008
90views more  JCB 2008»
13 years 6 months ago
A Simple Model of the Modular Structure of Transcriptional Regulation in Yeast
Resolving the general organizational principles that govern the interactions during transcriptional gene regulation has great relevance for understanding disease progression, biof...
Vladimir Filkov, Nameeta Shah
BMCBI
2007
106views more  BMCBI 2007»
13 years 6 months ago
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...