Inference of time-varying gene networks using constrained and smoothed Kalman filtering

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics

Volumn , Issue , 2012, Pages 172-175

  Rasool, Ghulam ^a   Bouaynaya, Nidhal ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL PROCESS; ENVIRONMENTAL CONDITIONS; FUNCTIONAL REQUIREMENT; GENE REGULATORY NETWORKS; GENETIC INTERACTION; NOISY OBSERVATIONS; STANDARD KALMAN FILTERS; STATE-SPACE FRAMEWORK;

CURRICULA; ESTIMATION; GENES; KALMAN FILTERS; MOLECULAR BIOLOGY; SIGNAL PROCESSING;

TIME VARYING NETWORKS;

EID: 84877816095     PISSN: 21503001     EISSN: 2150301X     Source Type: Conference Proceeding    
DOI: 10.1109/GENSIPS.2012.6507756     Document Type: Conference Paper

References (5)

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3. M. Grant and S. Boyd, "CVX: Matlab software for disciplined convex programming, version 1.21," Apr. 2011.
4. G. Rasool, N. Bouaynaya, H. Fathallah-Shaykh, and D. Schonfeld, "Inference of genetic regulatory networks using regularized likelihood with covariance estimation," in IEEE Statistical Signal Processing Workshop, Ann Arbor, Michigan, USA, 2012, pp. 560-563.
5. M. N. Arbeitman, E. E. Furlong, F. Imam, E. Johnson, B. H. Null, B. S. Baker, M. A. Krasnow, M. P. Scott, R. W. Davis, and K. P. White, "Gene expression during the life cycle of Drosophila melanogaster." Science, vol. 297, no. 5590, pp. 2270-2275, 2002.