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Items: 1 to 20 of 81

1.

Dynamic modeling of genetic networks using genetic algorithm and S-system.

Kikuchi S, Tominaga D, Arita M, Takahashi K, Tomita M.

Bioinformatics. 2003 Mar 22;19(5):643-50.

2.

A model-based optimization framework for the inference on gene regulatory networks from DNA array data.

Thomas R, Mehrotra S, Papoutsakis ET, Hatzimanikatis V.

Bioinformatics. 2004 Nov 22;20(17):3221-35. Epub 2004 Jul 9.

3.

Identification of biochemical networks by S-tree based genetic programming.

Cho DY, Cho KH, Zhang BT.

Bioinformatics. 2006 Jul 1;22(13):1631-40. Epub 2006 Apr 3.

4.

Inference of S-system models of genetic networks using a cooperative coevolutionary algorithm.

Kimura S, Ide K, Kashihara A, Kano M, Hatakeyama M, Masui R, Nakagawa N, Yokoyama S, Kuramitsu S, Konagaya A.

Bioinformatics. 2005 Apr 1;21(7):1154-63. Epub 2004 Oct 28.

5.

A duplication growth model of gene expression networks.

Bhan A, Galas DJ, Dewey TG.

Bioinformatics. 2002 Nov;18(11):1486-93.

6.

Evolutionary optimization with data collocation for reverse engineering of biological networks.

Tsai KY, Wang FS.

Bioinformatics. 2005 Apr 1;21(7):1180-8. Epub 2004 Oct 28.

7.

An intelligent two-stage evolutionary algorithm for dynamic pathway identification from gene expression profiles.

Ho SY, Hsieh CH, Yu FC, Huang HL.

IEEE/ACM Trans Comput Biol Bioinform. 2007 Oct-Dec;4(4):648-60.

PMID:
17975275
9.

Network-based regulatory pathways analysis.

Xiong M, Zhao J, Xiong H.

Bioinformatics. 2004 Sep 1;20(13):2056-66. Epub 2004 Apr 8.

10.

Ensemble learning of genetic networks from time-series expression data.

Nam D, Yoon SH, Kim JF.

Bioinformatics. 2007 Dec 1;23(23):3225-31. Epub 2007 Oct 31.

11.

Inferring gene regulatory networks with time delays using a genetic algorithm.

Wu FX, Poirier GG, Zhang WJ.

Syst Biol (Stevenage). 2005 Jun;152(2):67-74.

PMID:
17044234
12.

An empirical Bayes approach to inferring large-scale gene association networks.

Schäfer J, Strimmer K.

Bioinformatics. 2005 Mar;21(6):754-64. Epub 2004 Oct 12.

13.

Inferring gene regulatory networks from time series data using the minimum description length principle.

Zhao W, Serpedin E, Dougherty ER.

Bioinformatics. 2006 Sep 1;22(17):2129-35. Epub 2006 Jul 15.

14.

Inference of biochemical network models in S-system using multiobjective optimization approach.

Liu PK, Wang FS.

Bioinformatics. 2008 Apr 15;24(8):1085-92. doi: 10.1093/bioinformatics/btn075. Epub 2008 Mar 5.

15.

Co-clustering of biological networks and gene expression data.

Hanisch D, Zien A, Zimmer R, Lengauer T.

Bioinformatics. 2002;18 Suppl 1:S145-54.

16.

S-system parameter estimation for noisy metabolic profiles using newton-flow analysis.

Kutalik Z, Tucker W, Moulton V.

IET Syst Biol. 2007 May;1(3):174-80.

PMID:
17591176
17.

An integrated comprehensive workbench for inferring genetic networks: voyagene.

Maki Y, Takahashi Y, Arikawa Y, Watanabe S, Aoshima K, Eguchi Y, Ueda T, Aburatani S, Kuhara S, Okamoto M.

J Bioinform Comput Biol. 2004 Sep;2(3):533-50.

PMID:
15359425
18.

Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.

Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE.

Bioinformatics. 2007 Jul 1;23(13):1623-30. Epub 2007 Apr 26.

19.

Equivalence-set genes partitioning using an evolutionary-DP approach.

Mak TS, Lam KP.

IEEE Trans Nanobioscience. 2005 Dec;4(4):295-300.

PMID:
16433295
20.

Reverse engineering of dynamic networks.

Stigler B, Jarrah A, Stillman M, Laubenbacher R.

Ann N Y Acad Sci. 2007 Dec;1115:168-77. Epub 2007 Oct 9.

PMID:
17925347
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