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» A Comparison of Genetic Network Models
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APIN
1998
139views more  APIN 1998»
14 years 9 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
IV
2008
IEEE
296views Visualization» more  IV 2008»
15 years 4 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
76
Voted
IDEAL
2004
Springer
15 years 3 months ago
Building Genetic Networks for Gene Expression Patterns
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
Wai-Ki Ching, Eric S. Fung, Michael K. Ng
92
Voted
BMCBI
2006
127views more  BMCBI 2006»
14 years 9 months ago
On the attenuation and amplification of molecular noise in genetic regulatory networks
Background: Noise has many important roles in cellular genetic regulatory functions at the nanomolar scale. At present, no good theory exists for identifying all possible mechanis...
Bor-Sen Chen, Yu-Chao Wang
92
Voted
QEST
2009
IEEE
15 years 4 months ago
Comparison of Two Output Models for the BMAP/MAP/1 Departure Process
—The departure process of a BMAP/MAP/1 queue can be approximated in different ways: as a Markovian arrival process (MAP) or as a matrix-exponential process (MEP). Both approximat...
Qi Zhang, Armin Heindl, Evgenia Smirni, Andreas St...