A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data

作者: M. Zou , S. D. Conzen

DOI: 10.1093/BIOINFORMATICS/BTH463

关键词:

摘要: … greatly reduce the effectiveness of current DBN methods. The first problem … DBN-based approach with increased accuracy and reduced computational time compared with existing DBN …

参考文章(7)
Itamar Simon, John Barnett, Nancy Hannett, Christopher T Harbison, Nicola J Rinaldi, Thomas L Volkert, John J Wyrick, Julia Zeitlinger, David K Gifford, Tommi S Jaakkola, Richard A Young, Serial Regulation of Transcriptional Regulators in the Yeast Cell Cycle Cell. ,vol. 106, pp. 697- 708 ,(2001) , 10.1016/S0092-8674(01)00494-9
Christine E Horak, Nicholas M Luscombe, Jiang Qian, Paul Bertone, Stacy Piccirrillo, Mark Gerstein, Michael Snyder, Complex transcriptional circuitry at the G1/S transition in Saccharomyces cerevisiae Genes & Development. ,vol. 16, pp. 3017- 3033 ,(2002) , 10.1101/GAD.1039602
Sun Yong Kim, Seiya Imoto, Satoru Miyano, Inferring gene networks from time series microarray data using dynamic Bayesian networks Briefings in Bioinformatics. ,vol. 4, pp. 228- 235 ,(2003) , 10.1093/BIB/4.3.228
Haiyuan Yu, Nicholas M Luscombe, Jiang Qian, Mark Gerstein, Genomic analysis of gene expression relationships in transcriptional regulatory networks. Trends in Genetics. ,vol. 19, pp. 422- 427 ,(2003) , 10.1016/S0168-9525(03)00175-6
Raymond J. Cho, Michael J. Campbell, Elizabeth A. Winzeler, Lars Steinmetz, Andrew Conway, Lisa Wodicka, Tyra G. Wolfsberg, Andrei E. Gabrielian, David Landsman, David J. Lockhart, Ronald W. Davis, A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle Molecular Cell. ,vol. 2, pp. 65- 73 ,(1998) , 10.1016/S1097-2765(00)80114-8
B.-E. Perrin, L. Ralaivola, A. Mazurie, S. Bottani, J. Mallet, F. d'Alche-Buc, Gene networks inference using dynamic Bayesian networks european conference on computational biology. ,vol. 19, pp. 138- 148 ,(2003) , 10.1093/BIOINFORMATICS/BTG1071