This article is part of the supplement: Probabilistic Modeling and Machine Learning in Structural and Systems Biology
Bayesian model-based inference of transcription factor activity
-
* Corresponding author: Simon Rogers srogers@dcs.gla.ac.uk
BMC Bioinformatics 2007, 8(Suppl 2):S2 doi:10.1186/1471-2105-8-S2-S2
Accesses
- Last 30 days: 50 accesses
- Last 365 days: 506 accesses
- All time: 3239 accesses
Cited by
BioMed Central: 4 citations
|
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53 Junbai Wang, Tianhai Tian BMC Bioinformatics 2010, 11:36 (19 January 2010) |
|
An empirical Bayesian approach for model-based inference of cellular signaling networks David J Klinke BMC Bioinformatics 2009, 10:371 (9 November 2009) |
|
Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop Catherine F Higham BMC Systems Biology 2009, 3:12 (26 January 2009) |
|
Probabilistic modeling and machine learning in structural and systems biology Samuel Kaski, Juho Rousu, Esko Ukkonen BMC Bioinformatics 2007, 8(Suppl 2):S1 (3 May 2007) |