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The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo.
Bonneau R, Reiss DJ, Shannon P, Facciotti M, Hood L, Baliga NS, Thorsson V
Genome Biol
2006,
7
:R36
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BioMed Central articles that cite the above article:
1.
Research article
Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks
Michoel T, De Smet R, Joshi A, Van de Peer Y, Marchal K
BMC Systems Biology
2009,
3
:49
(7 May 2009)
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2.
Technical Note
Model selection in the reconstruction of regulatory networks from time-series data
Novikov E, Barillot E
BMC Research Notes
2009,
2
:68
(5 May 2009)
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3.
Method
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in
Escherichia coli
Lemmens K, De Bie T, Dhollander T, De Keersmaecker SC, Thijs IM, Schoofs G, De Weerdt A, De Moor B, Vanderleyden J, Collado-Vides J, Engelen K, Marchal K
Genome Biology
2009,
10
:R27
(6 March 2009)
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4.
Review
Inferring cellular networks
a review
Markowetz F, Spang R
BMC Bioinformatics
2007,
8
(Suppl 6):S5
(27 September 2007)
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5.
Methodology article
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Reiss DJ, Baliga NS, Bonneau R
BMC Bioinformatics
2006,
7
:280
(2 June 2006)
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This article is also cited by a further
14 articles
in PubMed Central
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