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Results: 1 to 20 of 127

Similar articles for PubMed (Select 15606968)

1.

Challenges and prospects in the analysis of large-scale gene expression data.

Ihmels JH, Bergmann S.

Brief Bioinform. 2004 Dec;5(4):313-27.

2.

Pathways to the analysis of microarray data.

Curtis RK, Oresic M, Vidal-Puig A.

Trends Biotechnol. 2005 Aug;23(8):429-35. Review.

PMID:
15950303
3.
4.

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.

5.

Adapting genetic regulatory models by genetic programming.

Eriksson R, Olsson B.

Biosystems. 2004 Aug-Oct;76(1-3):217-27.

PMID:
15351145
6.

Reconstructing biological networks using conditional correlation analysis.

Rice JJ, Tu Y, Stolovitzky G.

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

7.

Constructing and analyzing a large-scale gene-to-gene regulatory network--lasso-constrained inference and biological validation.

Gustafsson M, Hörnquist M, Lombardi A.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Jul-Sep;2(3):254-61.

PMID:
17044188
8.

A hybrid genetic algorithm and expectation maximization method for global gene trajectory clustering.

Chan ZS, Kasabov N, Collins L.

J Bioinform Comput Biol. 2005 Oct;3(5):1227-42.

PMID:
16278956
9.

Bayesian sparse hidden components analysis for transcription regulation networks.

Sabatti C, James GM.

Bioinformatics. 2006 Mar 15;22(6):739-46. Epub 2005 Dec 20.

10.

Defining transcription modules using large-scale gene expression data.

Ihmels J, Bergmann S, Barkai N.

Bioinformatics. 2004 Sep 1;20(13):1993-2003. Epub 2004 Mar 25.

11.

Dynamic model-based clustering for time-course gene expression data.

Wu FX, Zhang WJ, Kusalik AJ.

J Bioinform Comput Biol. 2005 Aug;3(4):821-36.

PMID:
16078363
12.

Finding regulatory modules through large-scale gene-expression data analysis.

Kloster M, Tang C, Wingreen NS.

Bioinformatics. 2005 Apr 1;21(7):1172-9. Epub 2004 Oct 28.

13.

Functional annotation and network reconstruction through cross-platform integration of microarray data.

Zhou XJ, Kao MC, Huang H, Wong A, Nunez-Iglesias J, Primig M, Aparicio OM, Finch CE, Morgan TE, Wong WH.

Nat Biotechnol. 2005 Feb;23(2):238-43. Epub 2005 Jan 16.

PMID:
15654329
14.

STEM: a tool for the analysis of short time series gene expression data.

Ernst J, Bar-Joseph Z.

BMC Bioinformatics. 2006 Apr 5;7:191.

15.

Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment.

Missal K, Cross MA, Drasdo D.

Bioinformatics. 2006 Mar 15;22(6):731-8. Epub 2005 Dec 6.

16.

Increasing feasibility of optimal gene network estimation.

Hansen A, Ott S, Koentges G.

Genome Inform. 2004;15(2):141-50.

PMID:
15706500
17.

Putting microarrays in a context: integrated analysis of diverse biological data.

Troyanskaya OG.

Brief Bioinform. 2005 Mar;6(1):34-43. Review.

18.

A Gibbs sampler for the identification of gene expression and network connectivity consistency.

Brynildsen MP, Tran LM, Liao JC.

Bioinformatics. 2006 Dec 15;22(24):3040-6. Epub 2006 Oct 23.

19.

Using a state-space model with hidden variables to infer transcription factor activities.

Li Z, Shaw SM, Yedwabnick MJ, Chan C.

Bioinformatics. 2006 Mar 15;22(6):747-54. Epub 2006 Jan 10.

20.

Discovering gene networks with a neural-genetic hybrid.

Keedwell E, Narayanan A.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Jul-Sep;2(3):231-42.

PMID:
17044186
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