This article is part of the supplement: Probabilistic Modeling and Machine Learning in Structural and Systems Biology
Validating module network learning algorithms using simulated data
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* Corresponding author: Tom Michoel tom.michoel@psb.ugent.be
- † Equal contributors
BMC Bioinformatics 2007, 8(Suppl 2):S5 doi:10.1186/1471-2105-8-S2-S5
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BioMed Central: 3 citations
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Method
Karen Lemmens, Tijl De Bie, Thomas Dhollander, Sigrid C De Keersmaecker, Inge M Thijs, Geert Schoofs, Ami De Weerdt, Bart De Moor, Jos Vanderleyden, Julio Collado-Vides, Kristof Engelen, Kathleen Marchal Genome Biology 2009, 10:R27 (6 March 2009) DISTILLER, a data integration framework for the inference of transcriptional module networks, is presented and used to investigate the condition dependency and modularity in Escherichia coli networks. |
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Methodology article
Extracting expression modules from perturbational gene expression compendia Steven Maere, Patrick Van Dijck, Martin Kuiper BMC Systems Biology 2008, 2:33 (10 April 2008) |
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Introduction
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) |