Applying dynamic Bayesian networks to perturbed gene expression data
<p>Abstract</p> <p>Background</p> <p>A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics, allowing to deal with the stochastic aspects of gene expressions...
Main Authors: | Wilczyński Bartek, Mizera Andrzej, Gambin Anna, Dojer Norbert, Tiuryn Jerzy |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2006-05-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/7/249 |
Similar Items
-
Finding evolutionarily conserved cis-regulatory modules with a universal set of motifs
by: Patelak Mateusz, et al.
Published: (2009-03-01) -
RECORD: Reference-Assisted Genome Assembly for Closely Related Genomes
by: Krisztian Buza, et al.
Published: (2015-01-01) -
Using local gene expression similarities to discover regulatory binding site modules
by: Tiuryn Jerzy, et al.
Published: (2006-11-01) -
Apply Bayesian Networks on Microarray Gene Expression Data
by: Chien-He Lee, et al.
Published: (2006) -
Distributed Bayesian networks reconstruction on the whole genome scale
by: Alina Frolova, et al.
Published: (2018-10-01)