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Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks

, , , and . Signal Processing, 86 (4): 814--834 (April 2006)

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Steady-state probabilities for attractors in probabilistic Boolean networks., , and . Signal Process., 85 (10): 1993-2013 (2005)Spectral methods for testing membership in certain post classes and the class of forcing functions., , and . IEEE Signal Process. Lett., 11 (2): 289-292 (2004)Information-theoretic analysis of the dynamics of an executable biological model., , , , , , and . PloS one, (2013)SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments., , , , , , , , , and 1 other author(s). BMC Bioinform., (2010)Extraction of the Number of Peroxisomes in Yeast Cells by Automated Image Analysis., , , , , and . EMBC, page 2353-2356. IEEE, (2006)Critical Boolean networks require minimal intervention rate., , , and . GENSiPS, page 1-2. IEEE, (2009)Basin Entropy in Boolean Network Ensembles, and . (2007)Combination of transform based denoising and stack filtering for non-Gaussian noise suppression., , and . NSIP, page 282-286. Bogaziçi University Printhouse, (1999)Reliable learning using post classes., and . EUSIPCO, page 1-4. IEEE, (2000)Howdah - A Flexible Pipeline Framework for Analyzing Genomic Data., , , , , , and . CloudCom, page 776-779. IEEE Computer Society, (2010)