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- 1
-
Tatsuya Akutsu, Satoru Kuhara, Osamu Maruyama, and Satoru Miyano.
Identification of gene regulatory networks by strategic gene
disruptions and gene overexpressions.
In Proceedings of the Ninth Annual ACM-SIAM Symposium on
Discrete Algorithms, pages 695-702, San Francisco, California, 25-27
January 1998.
- 2
-
P. D'haeseleer and S. Fuhrman.
Gene network inference using a linear, additive regulation model.
unpublished, 2000.
- 3
-
P. D'haeseleer, X. Wen, S. Fuhrman, and R. Somogyi.
Linear modeling of mRNA expression levels during CNS development
and injury.
In Pacific Symposium on Biocomputing, pages 41-52, Hawaii,
Hawaii, 1999. World Scientific Publishing Co.
- 4
-
J. Hertz.
http://www.nordita.dk/~
hertz/projects.html.
In Pacific Symposium on Biocomputing, Maui, Hawaii, 1998.
- 5
-
T.E. Iddeker, V. Thorsson, and R. M. Karp.
Discovery of regulatory interactions through perturbation: Inference
and experimental design.
In Pacific Symposium on Biocomputing 5, pages 302-313, 2000.
- 6
-
Friedman N., Linial M., Nachman I., and Pe'er D.
Using bayesian networks to analyze expression data.
J. Computational Biology, 7(3):601-620, Nov 1998.
- 7
-
Liang S, Fuhrman S, and Somogyi R.
Reveal, a general reverse engineering algorithm for inference of
genetic network architectures.
In Pacific Symposium on Biocomputing, pages 18-29, Maui,
Hawaii, 1998. World Scientific Publishing Co.
- 8
-
R. Somogyi and C. Sniegoski.
Complexity, 1:45-63, 1996.
Peer Itsik
2001-03-04