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Inferring Gene Regulatory Networks from Gene Expression Data by a Dynamic Bayesian Network-Based Model.

, , , , , , and . DCAI, volume 151 of Advances in Intelligent and Soft Computing, page 379-386. Springer, (2012)

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Using Particle Swarm Optimization for Estimating Kinetics Parameters on Essential Amino Acid Production of Arabidopsis Thaliana., , , , , , , and . BDI, volume 477 of Studies in Computational Intelligence, page 51-61. Springer, (2013)Inferring Gene Networks from Gene Expression Data Using Dynamic Bayesian Network with Different Scoring Metric Approaches., , , , , , and . BDI, volume 477 of Studies in Computational Intelligence, page 77-86. Springer, (2013)Inferring gene regulatory networks from perturbed gene expression data using a dynamic Bayesian network with a Markov Chain Monte Carlo algorithm., , , , , and . GrC, page 179-184. IEEE Computer Society, (2014)Using Bees Hill Flux Balance Analysis (BHFBA) for in silico Microbial Strain Optimization., , , , , and . ACIIDS (1), volume 7802 of Lecture Notes in Computer Science, page 375-384. Springer, (2013)Identifying Gene Knockout Strategies Using a Hybrid of Bees Algorithm and Flux Balance Analysis for in Silico Optimization of Microbial Strains., , , , , , and . DCAI, volume 151 of Advances in Intelligent and Soft Computing, page 371-378. Springer, (2012)Inferring Gene Regulatory Networks from Gene Expression Data by a Dynamic Bayesian Network-Based Model., , , , , , and . DCAI, volume 151 of Advances in Intelligent and Soft Computing, page 379-386. Springer, (2012)Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks., , , , , , , , , and 2 other author(s). DCAI, volume 474 of Advances in Intelligent Systems and Computing, page 413-421. Springer, (2016)Using Ant Colony Optimization (ACO) on Kinetic Modeling of the Acetoin Production in Lactococcus Lactis C7., , , , , , , and . BDI, volume 477 of Studies in Computational Intelligence, page 25-35. Springer, (2013)Inferring E. coli SOS Response Pathway from Gene Expression Data Using IST-DBN with Time Lag Estimation., , , , and . BDI, volume 477 of Studies in Computational Intelligence, page 5-14. Springer, (2013)Identifying Gene Knockout Strategy Using Bees Hill Flux Balance Analysis (BHFBA) for Improving the Production of Succinic Acid and Glycerol in Saccharomyces cerevisiae., , , , , and . PAKDD Workshops, volume 7867 of Lecture Notes in Computer Science, page 223-233. Springer, (2013)