A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training with noise is equivalent to Tikhonov regularization
Neural Computation
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Swarm intelligence
Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming
Genetic Programming and Evolvable Machines
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Breeding swarms: a GA/PSO hybrid
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Discovering Gene Networks with a Neural-Genetic Hybrid
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Inferring Gene Regulatory Networks using Differential Evolution with Local Search Heuristics
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ACM Transactions on Knowledge Discovery from Data (TKDD)
Strength pareto particle swarm optimization and hybrid ea-pso for multi-objective optimization
Evolutionary Computation
Ensemble strategies with adaptive evolutionary programming
Information Sciences: an International Journal
Robust stability for uncertain genetic regulatory networks with interval time-varying delays
Information Sciences: an International Journal
A particle swarm optimization based memetic algorithm for dynamic optimization problems
Natural Computing: an international journal
Noise-robust algorithm for identifying functionally associated biclusters from gene expression data
Information Sciences: an International Journal
The wavelet transform, time-frequency localization and signal analysis
IEEE Transactions on Information Theory
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Gene regulatory networks (GRNs) are essential for cellular metabolism during the development of living organisms. Reconstructing gene networks from expression profiling data can help biologists generate and test hypotheses to investigate the complex phenomena of nature systems. However, building regulatory models is a tedious task, especially when the number of genes and the complexity of regulation increase. To automate the procedure of network reconstruction, we establish a methodology to infer the computational network model and to deal with the problem of scalability from two directions. The first is to develop an enhanced GA-PSO hybrid method to search promising solutions, and the second is to develop a network decomposition procedure to reduce the task complexity. Meanwhile, our work includes a quantitative method to consider prior knowledge in the inference process to ensure validity of the obtained results. Experiments have been conducted to evaluate the proposed approach. The results indicate that it can be used to infer GRNs successfully and can achieve better performance.