Genetic networks inferred from time series of gene expression data

International Symposium on Control, Communications and Signal Processing, ISCCSP

Volumn , Issue , 2004, Pages 755-758

  Tabus, Ioan ^a   Giurcaneanu, Ciprian Doru ^a   Astola, Jaakko ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; DATA ACQUISITION; DIFFERENTIAL EQUATIONS; EIGENVALUES AND EIGENFUNCTIONS; INVERSE PROBLEMS; PROBLEM SOLVING; SIGNAL PROCESSING; TIME SERIES ANALYSIS;

GENE EXPRESSION DATA; GENETIC NETWORKS; MINIMUM DESCRIPTION LENGTH (MDL);

GENES;

EID: 3042689747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. J. Aach, G.M. Church. Aligning gene expression time series with time warping algorithms. Bioinformatics, Vol. 17, no. 6, pp. 495-508, 2001.
2. H. Akaike. Information theory and an extension of the maximum likelihood principle. In 2'nd Int. Symp. on Inf. Theory, Akademiai Kiado, Budapest, 267-281. 1971.
3. T. Chen, H.L. He, G.M. Church. Modeling gene expression with differential equations. Pacific Symposium on Biocomputing, 4, 29-40, 1999.
4. P. D'Haeseleer, X. Wen, S. Fuhrman, R. Somogyi. Linear modeling of mRNA expression levels during CNS development and injury. Pacific Symposium on Biocomputing, pp. 41-52, 1999.
5. J.R. Gilbert. Predicting structure in sparse matrix computations. SIAM J. Matrix Anal. Appl., Vol. 15, No. 1, 62-79, 1994.
6. M.J.L. de Hoon, S. Imoto, K. Kobayashi, N. Ogasawara and S. Miyano. Inferring gene regulatory networks from time-ordered gene expression data of Bacillus subtilis using differential equations. Pacific Symposium on Biocomputing, 8, 17-28, 2003.
7. M.J.L. de Hoon, S. On, S. Imoto and S. Miyano. Validation of noisy dynamical system models of gene regulation inferred from time-course gene expression data at arbitrary time intervals. Proc. 2nd European Conference on Computational Biology, 26-28, 2003.
8. A. Barron, J. Rissanen, B. Yu. The minimum description length principle in coding and modeling. IEEE Trans. on Information Theory, vol.44, no. 6. 2743-2760, Oct. 1998.
9. S. Saito, R. Matoba, N. Ueno, K. Matsubara, K. Kato. Comparison of gene expression profiling during postnatal development of mouse dentate gyrus and cerebellum. Physiological Genomics, Vol. 8, pp.131-137, 2002.
10. I. Tabus, J. Astola. Clustering the non-uniformly sampled time series of gene expression data. Proceedings of ISSPA 2003, International Symposium on Signal Processing and Applications, Paris, July 2-5, p. 61-64, 2003.