Informative structure priors: Joint learning of dynamic regulatory networks from multiple types of data

Proceedings of the Pacific Symposium on Biocomputing 2005, PSB 2005

Volumn , Issue , 2005, Pages 459-470

  Bernard, Allister ^a   Hartemink, Alexander J ^a  

^a Duke University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; DYNAMIC BAYESIAN NETWORKS; EXPERIMENTAL DATUM; EXPRESSION DATA; GENE EXPRESSION DATA; JOINT LEARNING; LOCATION DATA; REGULATORY NETWORK; TRANSCRIPTION FACTOR BINDING; TRANSCRIPTIONAL REGULATORY NETWORKS; YEAST CELL CYCLES;

LEARNING ALGORITHMS;

TRANSCRIPTION FACTORS;

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; CELL CYCLE; COMPUTER SIMULATION; GENETIC TRANSCRIPTION; GENETICS; PROBABILITY;

BAYES THEOREM; CELL CYCLE; COMPUTER SIMULATION; MARKOV CHAINS; MODELS, GENETIC; PROBABILITY; TRANSCRIPTION, GENETIC;

EID: 15944361900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. A. Hartemink, D. Gifford, T. Jaakkola, and R. Young. In PSB, p. 422-433, 2001.
2. N. Friedman, M. Linial, I. Nachman, and D. Peer. In RECOMB, ACM, 2000.
3. D. Husmeier. Bioinformatics, 19:2271-2282, 2003.
4. J. Yu, A. Smith, P. Wang, A. Hartemink, and E. Jarvis. Bioinformatics, to appear, 2004.
5. E. Segal, R. Yelcnsky, and D. Koller. Bioinformatics, 19:i273-i282, 2003.
6. Z. Bar-Joseph et al. Nature Biotechnology, 21(11): 1337-1341, 2003.
7. A. Hartemink, D. Gifford, T. Jaakkola, and R. Young. In PSB, p. 437-449, 2002.
8. S. Imoto, T. Higuchi, T. Goto, and K. Tashiro. In CSB, IEEE, 2003.
9. N. Nariai, S. Kim, S. Imoto, and S. Miyano. In PSB, p. 384-395, 2004.
10. K. Murphy and S. Mian. University of California at Berkeley, 1999.
11. I. Ong, J. Glasner, and D. Page. Bioinformatics, 18:S241-S248, 2002.
12. A. Smith, J. Yu, T. Smulders, A. Hartemink, and E. Jarvis. In preparation, 2004.
13. N. Friedman, K. Muiphy, and S. Russell. In Proc. 14th UAI, p. 139-147, 1998.
14. D. Heckerman. In M. I. Jordan, editor. Learning in Graphical Models, p. 301-354, Kluwer Academic Publishers, 1998.
15. T. Hughes et al. Cell, 102:109-126, 2000.
16. E. Segal, Y. Barash, I. Simon, N. Friedman, and D. Koller. In RECOMB, ACM, 2002.
17. R. Edwards and L. Glass. Chaos, 10:691-704, 2000.
18. P. Spellmanetal. Mol. Biol. Cell, 9:3273-3297, 1998.
19. T. Lee et al. Science, 298:799-804, 2002.
20. A. Smith, E. Jarvis, and A. Hartemink. Bioinformatics, 18:S216-S224, 2002.