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Control approaches for probabilistic gene regulatory networks - What approaches have been developed for addreassinig the issue of intervention?

, , , and . IEEE Signal Process. Mag., 24 (1): 54-63 (2007)

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Inference of a genetic regulatory network model from limited time series data., and . GENSiPS, page 162-165. IEEE, (2011)Quantifying the inference power of a drug screen for predictive analysis., , , and . GENSiPS, page 49-52. IEEE, (2013)A multivariate random forest based framework for drug sensitivity prediction., and . GENSiPS, page 53. IEEE, (2013)A descriptive model of resting-state networks using Markov chains., , and . EMBC, page 3594-3597. IEEE, (2016)Sequential feature selection and inference using multi-variate random forests., , , and . Bioinform., 34 (8): 1336-1344 (2018)Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC)., , , and . BMC Bioinform., 20-S (12): 316:1-316:3 (2019)Investigation of Model Stacking for Drug Sensitivity Prediction., , , , and . BCB, page 772. ACM, (2017)Complexity reduction of stochastic master equation simulation based on Kronecker product analysis., and . BCB, page 186-193. ACM, (2012)Transient Dynamics of Reduced-Order Models of Genetic Regulatory Networks., and . IEEE ACM Trans. Comput. Biol. Bioinform., 9 (4): 1230-1244 (2012)Deep Sequencing Data Analysis., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (2): 482-483 (2018)