Inference of transcriptional regulation relationships from gene expression data

Bioinformatics

Volumn 19, Issue 8, 2003, Pages 905-912

  Kwon, Andrew T ^a   Hoos, Holger H ^a   Ng, Raymond ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CELL CYCLE; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION ANALYSIS; DNA MICROARRAY; FUNGAL GENE; GENE CONTROL; GENE EXPRESSION; INTERMETHOD COMPARISON; NONHUMAN; PRIORITY JOURNAL; SACCHAROMYCES CEREVISIAE; TRANSCRIPTION REGULATION;

SACCHAROMYCES; SACCHAROMYCES CEREVISIAE;

EID: 0038281506     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg106     Document Type: Article

References (13)

1. Barash, Y. and Friedman,N. (2001) Context-specific bayesian clustering for gene expression data. In Proceedings of RECOMB.
2. Chen,T., Filkov,V. and Skiena,S. (1999) Identifying gene regulatory networks from experimental data. In Proceedings of RECOMB.
3. Cho et al., (1998) A genome-wide transcriptional analysis of the mitotic cell cycle. Mol. Cell, 2, 65-73.
4. D'haeseleer,P., Ling,S. and Somogyi,R. (2000) Genetic network inference: from co-expression clustering to reverse engineering. Bioinformatics, 16, 707-726.
5. Durbin,, Eddy,, Krogh, and Mitchison, (1998) Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, Cambridge.
6. Filkov,V., Skiena,S. and Zhi,J. (2001) Identifying gene regulatory networks from experimental data. In Proceedings of RECOMB 2001.
7. Friedman,N., Linial,M., Nachman,I. and Pe'er,D. (2000) Using bayesian networks to analyze expression data. J. Comp. Biol., 7, 601-620.
8. Knight,T. and Sussman,G. (1997) Cellular gate technology, http://www.ai.mit.edu/people/tk/ce/cellgates.ps.
9. Kwon,A. (2002) Inference of transcriptional regulation relationships with gene expression data, Master's thesis, submitted to Department of Computer Science, UBC.
10. Needleman,S. and Wunsch,C. (1970) A general method applicable to the search for similarities in the amino acid sequence of two proteins. J. Mol. Biol., 48, 443-453.
11. Spellman,P., Sherlock,G., Zhang,M., Iyer,V., Anders,K., Eisen,M., Brown,P., Botstein,D. and Futcher,B. (1998) Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae microarray hybridization. Mol. Biol. Cell, 9, 3273-3297.
12. Spirtes,P., Glymour,C. and Scheines,R. (2000) Constructing bayesian network models of gene expression networks from microarray data. In Proceedings of the Atlantic Symposium on Computational Biology, Genome Information Systems & Technology.
13. Weiss,R. (2001) Cellular Computation and Communications Using Engineered Genetic Regulatory Networks, PhD thesis,, Department of Electronic Engineering and Computer Science, MIT.