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Items: 8

1.

DREAM4: Combining genetic and dynamic information to identify biological networks and dynamical models.

Greenfield A, Madar A, Ostrer H, Bonneau R.

PLoS One. 2010 Oct 25;5(10):e13397. doi: 10.1371/journal.pone.0013397.

2.

Biological Network Inference and analysis using SEBINI and CABIN.

Taylor R, Singhal M.

Methods Mol Biol. 2009;541:551-76. doi: 10.1007/978-1-59745-243-4_24. Review.

PMID:
19381531
3.

Modelling signaling networks underlying plant defence.

Windram O, Denby KJ.

Curr Opin Plant Biol. 2015 Oct;27:165-71. doi: 10.1016/j.pbi.2015.07.007. Review.

4.

Integrated inference and analysis of regulatory networks from multi-level measurements.

Poultney CS, Greenfield A, Bonneau R.

Methods Cell Biol. 2012;110:19-56. doi: 10.1016/B978-0-12-388403-9.00002-3. Review.

PMID:
22482944
5.

Autoregressive models for gene regulatory network inference: sparsity, stability and causality issues.

Michailidis G, d'Alché-Buc F.

Math Biosci. 2013 Dec;246(2):326-34. doi: 10.1016/j.mbs.2013.10.003. Review.

PMID:
24176667
6.

Evaluating network inference methods in terms of their ability to preserve the topology and complexity of genetic networks.

Kiani NA, Zenil H, Olczak J, Tegnér J.

Semin Cell Dev Biol. 2016 Mar;51:44-52. doi: 10.1016/j.semcdb.2016.01.012. Review.

PMID:
26851626
7.

A review on the computational approaches for gene regulatory network construction.

Chai LE, Loh SK, Low ST, Mohamad MS, Deris S, Zakaria Z.

Comput Biol Med. 2014 May;48:55-65. doi: 10.1016/j.compbiomed.2014.02.011. Review.

PMID:
24637147
8.

Advantages and limitations of current network inference methods.

De Smet R, Marchal K.

Nat Rev Microbiol. 2010 Oct;8(10):717-29. doi: 10.1038/nrmicro2419. Review.

PMID:
20805835

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