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Items: 1 to 20 of 52

1.

Comparison of statistical and optimisation-based methods for data-driven network reconstruction of biochemical systems.

Asadi B, Maurya MR, Tartakovsky DM, Subramaniam S.

IET Syst Biol. 2012 Oct;6(5):155-63. doi: 10.1049/iet-syb.2011.0052.

PMID:
23101870
2.

Fitting a geometric graph to a protein-protein interaction network.

Higham DJ, Rasajski M, Przulj N.

Bioinformatics. 2008 Apr 15;24(8):1093-9. doi: 10.1093/bioinformatics/btn079. Epub 2008 Mar 14.

PMID:
18344248
3.

Unravelling gene networks from noisy under-determined experimental perturbation data.

de la Fuente A, Makhecha DP.

Syst Biol (Stevenage). 2006 Jul;153(4):257-62.

PMID:
16986627
4.

Statistical modelling of biochemical pathways.

Burrows RB, Warnes GR, Hanumara RC.

IET Syst Biol. 2007 Nov;1(6):353-60.

PMID:
18203581
5.

Selective integration of multiple biological data for supervised network inference.

Kato T, Tsuda K, Asai K.

Bioinformatics. 2005 May 15;21(10):2488-95. Epub 2005 Feb 22.

PMID:
15728114
6.

Inference of large-scale gene regulatory networks using regression-based network approach.

Kim H, Lee JK, Park T.

J Bioinform Comput Biol. 2009 Aug;7(4):717-35.

PMID:
19634200
7.

Deterministic projection by growing cell structure networks for visualization of high-dimensionality datasets.

Wong JW, Cartwright HM.

J Biomed Inform. 2005 Aug;38(4):322-30. Epub 2005 Mar 5.

8.

Propagation of fluctuations in biochemical systems, II: Nonlinear chains.

Anderson DF, Mattingly JC.

IET Syst Biol. 2007 Nov;1(6):313-25.

PMID:
18203578
9.

Reconstructing biological networks using conditional correlation analysis.

Rice JJ, Tu Y, Stolovitzky G.

Bioinformatics. 2005 Mar;21(6):765-73. Epub 2004 Oct 14.

PMID:
15486043
10.

A comparison of methods to handle skew distributed cost variables in the analysis of the resource consumption in schizophrenia treatment.

Kilian R, Matschinger H, Löeffler W, Roick C, Angermeyer MC.

J Ment Health Policy Econ. 2002 Mar;5(1):21-31.

PMID:
12529567
11.

Efficient nonlinear predictive control of a biochemical reactor using neural models.

Lawryńczuk M.

Bioprocess Biosyst Eng. 2009 Apr;32(3):301-12. doi: 10.1007/s00449-008-0249-x. Epub 2008 Jul 31.

PMID:
18668266
12.
13.

Identification of reaction networks for bioprocesses: determination of a partially unknown pseudo-stoichiometric matrix.

Bernard O, Bastin G.

Bioprocess Biosyst Eng. 2005 Aug;27(5):293-301. Epub 2005 Jul 2.

PMID:
15995850
14.

Hybrid bounded error observers for uncertain bioreactor models.

Lemesle V, Gouzé JL.

Bioprocess Biosyst Eng. 2005 Aug;27(5):311-8. Epub 2005 Jul 6.

PMID:
15999260
15.

Modelling noise in biochemical reaction networks.

Grima R, Kim J.

IET Syst Biol. 2012 Aug;6(4):101. doi: 10.1049/iet-syb.2012.0039. No abstract available.

PMID:
23039690
16.

Linear mass balance equilibration: a new approach for an old problem.

Ragot J, Maquin D, Alhaj-Dibo M.

ISA Trans. 2005 Jan;44(1):23-34.

PMID:
15682614
17.

Building blocks of biological networks: a review on major network motif discovery algorithms.

Masoudi-Nejad A, Schreiber F, Kashani ZR.

IET Syst Biol. 2012 Oct;6(5):164-74. doi: 10.1049/iet-syb.2011.0011. Review.

PMID:
23101871
18.

Estimation of pharmacokinetic parameters by orthogonal regression: comparison of four algorithms.

Tod M, Aouimer A, Petitjean O.

Comput Methods Programs Biomed. 2002 Jan;67(1):13-26.

PMID:
11750944
20.

A Lasso regression model for the construction of microRNA-target regulatory networks.

Lu Y, Zhou Y, Qu W, Deng M, Zhang C.

Bioinformatics. 2011 Sep 1;27(17):2406-13. doi: 10.1093/bioinformatics/btr410. Epub 2011 Jul 8.

PMID:
21743061

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