Parameter Estimation and Model Selection in Computational Biology
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DOI: 10.1371/journal.pcbi.1000696
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References listed on IDEAS
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- Zarifeh Heidary & Jafar Ghaisari & Shiva Moein & Shaghayegh Haghjooy Javanmard, 2020. "The double-edged sword role of fibroblasts in the interaction with cancer cells; an agent-based modeling approach," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-14, May.
- Fuaada Mohd Siam & Muhamad Hanis Nasir, 2019. "Comparison of parameter fitting on the model of irradiation effects on bystander cells between Nelder-Mead simplex and particle swarm optimization," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(3), pages 142-150.
- Sungho Shin & Ophelia S Venturelli & Victor M Zavala, 2019. "Scalable nonlinear programming framework for parameter estimation in dynamic biological system models," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-29, March.
- Agus Hartoyo & Peter J Cadusch & David T J Liley & Damien G Hicks, 2019. "Parameter estimation and identifiability in a neural population model for electro-cortical activity," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-27, May.
- Marissa Renardy & Tau-Mu Yi & Dongbin Xiu & Ching-Shan Chou, 2018. "Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization," PLOS Computational Biology, Public Library of Science, vol. 14(5), pages 1-26, May.
- Afnizanfaizal Abdullah & Safaai Deris & Mohd Saberi Mohamad & Sohail Anwar, 2013. "An Improved Swarm Optimization for Parameter Estimation and Biological Model Selection," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-16, April.
- Takanori Hasegawa & Rui Yamaguchi & Masao Nagasaki & Satoru Miyano & Seiya Imoto, 2014. "Inference of Gene Regulatory Networks Incorporating Multi-Source Biological Knowledge via a State Space Model with L1 Regularization," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-19, August.
- Alireza Yazdani & Lu Lu & Maziar Raissi & George Em Karniadakis, 2020. "Systems biology informed deep learning for inferring parameters and hidden dynamics," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-19, November.
- Se Ho Park & Seokmin Ha & Jae Kyoung Kim, 2023. "A general model-based causal inference method overcomes the curse of synchrony and indirect effect," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Afnizanfaizal Abdullah & Safaai Deris & Sohail Anwar & Satya N V Arjunan, 2013. "An Evolutionary Firefly Algorithm for the Estimation of Nonlinear Biological Model Parameters," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-16, March.
- Wenlong He & Peng Xia & Xinan Zhang & Tianhai Tian, 2022. "Bayesian Inference Algorithm for Estimating Heterogeneity of Regulatory Mechanisms Based on Single-Cell Data," Mathematics, MDPI, vol. 10(24), pages 1-15, December.
- Yong-Jun Shin & Ali H Sayed & Xiling Shen, 2012. "Adaptive Models for Gene Networks," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-6, February.
- González Javier & Vujačić Ivan & Wit Ernst, 2013. "Inferring latent gene regulatory network kinetics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(1), pages 109-127, March.
- Joseph D Taylor & Samuel Winnall & Alain Nogaret, 2020. "Estimation of neuron parameters from imperfect observations," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-22, July.
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