Floating search methods in feature selection
Pattern Recognition Letters
Genomic Signal Processing (Princeton Series in Applied Mathematics)
Genomic Signal Processing (Princeton Series in Applied Mathematics)
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
SFFS-MR: a floating search strategy for GRNs inference
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
Reverse engineering of GRNs: an evolutionary approach based on the tsallis entropy
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A Monte Carlo approach to measure the robustness of Boolean networks
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
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An important question in computational biology is how genes are regulated and interact through gene networks. Some methods for the identification of gene networks from temporal data were proposed. An important open problem regards how to validate such resulting networks. This work presents an approach to validate such algorithms, considering three main aspects: (1) AGN model generation and simulation; (2) gene network identification; (3) validation of identified network.