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Items: 1 to 20 of 206

1.

Boosting probabilistic graphical model inference by incorporating prior knowledge from multiple sources.

Praveen P, Fröhlich H.

PLoS One. 2013 Jun 24;8(6):e67410. doi: 10.1371/journal.pone.0067410. Print 2013.

2.

Network inference using informative priors.

Mukherjee S, Speed TP.

Proc Natl Acad Sci U S A. 2008 Sep 23;105(38):14313-8. doi: 10.1073/pnas.0802272105. Epub 2008 Sep 17.

3.

Comparing the reconstruction of regulatory pathways with distinct Bayesian networks inference methods.

Werhli AV.

BMC Genomics. 2012;13 Suppl 5:S2. doi: 10.1186/1471-2164-13-S5-S2. Epub 2012 Oct 19.

4.

Bayesian assignment of gene ontology terms to gene expression experiments.

Sykacek P.

Bioinformatics. 2012 Sep 15;28(18):i603-i610. doi: 10.1093/bioinformatics/bts405.

5.

Reverse engineering module networks by PSO-RNN hybrid modeling.

Zhang Y, Xuan J, de los Reyes BG, Clarke R, Ressom HW.

BMC Genomics. 2009 Jul 7;10 Suppl 1:S15. doi: 10.1186/1471-2164-10-S1-S15.

6.

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.

PMID:
15479708
7.

Joint learning of gene functions--a Bayesian network model approach.

Deng X, Geng H, Ali HH.

J Bioinform Comput Biol. 2006 Apr;4(2):217-39.

PMID:
16819781
8.

Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.

Werhli AV, Grzegorczyk M, Husmeier D.

Bioinformatics. 2006 Oct 15;22(20):2523-31. Epub 2006 Jul 14.

PMID:
16844710
9.

Biological network mapping and source signal deduction.

Brynildsen MP, Wu TY, Jang SS, Liao JC.

Bioinformatics. 2007 Jul 15;23(14):1783-91. Epub 2007 May 11.

PMID:
17495996
10.

Reconstruction of biological networks by incorporating prior knowledge into Bayesian network models.

Pei B, Shin DG.

J Comput Biol. 2012 Dec;19(12):1324-34. doi: 10.1089/cmb.2011.0194.

11.

A framework for elucidating regulatory networks based on prior information and expression data.

Gevaert O, Van Vooren S, De Moor B.

Ann N Y Acad Sci. 2007 Dec;1115:240-8. Epub 2007 Oct 9.

PMID:
17925352
12.

Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data.

Zhang Y, Xuan J, de los Reyes BG, Clarke R, Ressom HW.

BMC Bioinformatics. 2008 Apr 21;9:203. doi: 10.1186/1471-2105-9-203.

13.

A Bayes random field approach for integrative large-scale regulatory network analysis.

Yuan Y, Li CT.

J Integr Bioinform. 2008 Aug 25;5(2). doi: 10.2390/biecoll-jib-2008-99.

PMID:
20134063
14.

Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data.

Gao S, Wang X.

BMC Bioinformatics. 2011 Aug 31;12:359. doi: 10.1186/1471-2105-12-359.

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17.

Motif-directed network component analysis for regulatory network inference.

Wang C, Xuan J, Chen L, Zhao P, Wang Y, Clarke R, Hoffman E.

BMC Bioinformatics. 2008;9 Suppl 1:S21. doi: 10.1186/1471-2105-9-S1-S21.

19.

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
20.

Reconstruction of large-scale gene regulatory networks using Bayesian model averaging.

Kim H, Gelenbe E.

IEEE Trans Nanobioscience. 2012 Sep;11(3):259-65. doi: 10.1109/TNB.2012.2214233.

PMID:
22987132

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