IDEAS home Printed from https://ideas.repec.org/r/plo/pcbi00/0030189.html
   My bibliography  Save this item

Universally Sloppy Parameter Sensitivities in Systems Biology Models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Claudia Schillings & Mikael Sunnåker & Jörg Stelling & Christoph Schwab, 2015. "Efficient Characterization of Parametric Uncertainty of Complex (Bio)chemical Networks," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-16, August.
  2. Elevitch, Craig R. & Johnson, C. Richard, 2020. "A procedure for ranking parameter importance for estimation in predictive mechanistic models," Ecological Modelling, Elsevier, vol. 419(C).
  3. Christian A Tiemann & Joep Vanlier & Maaike H Oosterveer & Albert K Groen & Peter A J Hilbers & Natal A W van Riel, 2013. "Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-15, August.
  4. 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.
  5. Samuel Bandara & Johannes P Schlöder & Roland Eils & Hans Georg Bock & Tobias Meyer, 2009. "Optimal Experimental Design for Parameter Estimation of a Cell Signaling Model," PLOS Computational Biology, Public Library of Science, vol. 5(11), pages 1-12, November.
  6. Xinxian Shao & Andrew Mugler & Justin Kim & Ha Jun Jeong & Bruce R Levin & Ilya Nemenman, 2017. "Growth of bacteria in 3-d colonies," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-19, July.
  7. Fridtjof Brauns & Leila Iñigo de la Cruz & Werner K.-G. Daalman & Ilse Bruin & Jacob Halatek & Liedewij Laan & Erwin Frey, 2023. "Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  8. Andrew J K Conlan & Ellen Brooks Pollock & Trevelyan J McKinley & Andrew P Mitchell & Gareth J Jones & Martin Vordermeier & James L N Wood, 2015. "Potential Benefits of Cattle Vaccination as a Supplementary Control for Bovine Tuberculosis," PLOS Computational Biology, Public Library of Science, vol. 11(2), pages 1-27, February.
  9. Kirill Sechkar & Harrison Steel & Giansimone Perrino & Guy-Bart Stan, 2024. "A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  10. Bryan C Daniels & Ilya Nemenman, 2015. "Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
  11. Sang O K Song & Justin Hogg & Zhi-Yong Peng & Robert Parker & John A Kellum & Gilles Clermont, 2012. "Ensemble Models of Neutrophil Trafficking in Severe Sepsis," PLOS Computational Biology, Public Library of Science, vol. 8(3), pages 1-16, March.
  12. Giorgos Minas & David A Rand, 2017. "Long-time analytic approximation of large stochastic oscillators: Simulation, analysis and inference," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-23, July.
  13. Rodrigo P. Rocha & Loren Koçillari & Samir Suweis & Michele Filippo De Grazia & Michel Thiebaut Schotten & Marco Zorzi & Maurizio Corbetta, 2022. "Recovery of neural dynamics criticality in personalized whole-brain models of stroke," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  14. Eberhard O Voit & Harald A Martens & Stig W Omholt, 2015. "150 Years of the Mass Action Law," PLOS Computational Biology, Public Library of Science, vol. 11(1), pages 1-7, January.
  15. Giorgos Minas & Dan J Woodcock & Louise Ashall & Claire V Harper & Michael R H White & David A Rand, 2020. "Multiplexing information flow through dynamic signalling systems," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-18, August.
  16. Port, Alexander & Bryan, Karin R. & Pilditch, Conrad A. & Hamilton, David P. & Bischof, Kai, 2015. "Algebraic equilibrium solution of tissue nitrogen quota in algae and the discrepancy between calibrated parameters and physiological properties," Ecological Modelling, Elsevier, vol. 312(C), pages 281-291.
  17. Céline Christiansen-Jucht & Kamil Erguler & Chee Yan Shek & María-Gloria Basáñez & Paul E. Parham, 2015. "Modelling Anopheles gambiae s.s. Population Dynamics with Temperature- and Age-Dependent Survival," IJERPH, MDPI, vol. 12(6), pages 1-31, May.
  18. Maksat Ashyraliyev & Ken Siggens & Hilde Janssens & Joke Blom & Michael Akam & Johannes Jaeger, 2009. "Gene Circuit Analysis of the Terminal Gap Gene huckebein," PLOS Computational Biology, Public Library of Science, vol. 5(10), pages 1-16, October.
  19. Zachary R Fox & Brian Munsky, 2019. "The finite state projection based Fisher information matrix approach to estimate information and optimize single-cell experiments," PLOS Computational Biology, Public Library of Science, vol. 15(1), pages 1-23, January.
  20. Yuncong Geng & Thu Vu Phuc Nguyen & Ehsan Homaee & Ido Golding, 2024. "Using bacterial population dynamics to count phages and their lysogens," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  21. Marc Hafner & Heinz Koeppl & Martin Hasler & Andreas Wagner, 2009. "‘Glocal’ Robustness Analysis and Model Discrimination for Circadian Oscillators," PLOS Computational Biology, Public Library of Science, vol. 5(10), pages 1-10, October.
  22. Mark K Transtrum & Peng Qiu, 2016. "Bridging Mechanistic and Phenomenological Models of Complex Biological Systems," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-34, May.
  23. Juliane Liepe & Sarah Filippi & Michał Komorowski & Michael P H Stumpf, 2013. "Maximizing the Information Content of Experiments in Systems Biology," PLOS Computational Biology, Public Library of Science, vol. 9(1), pages 1-13, January.
  24. Gabriele Lillacci & Mustafa Khammash, 2010. "Parameter Estimation and Model Selection in Computational Biology," PLOS Computational Biology, Public Library of Science, vol. 6(3), pages 1-17, March.
  25. Andrew White & Malachi Tolman & Howard D Thames & Hubert Rodney Withers & Kathy A Mason & Mark K Transtrum, 2016. "The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-26, December.
  26. Diego Fernández Slezak & Cecilia Suárez & Guillermo A Cecchi & Guillermo Marshall & Gustavo Stolovitzky, 2010. "When the Optimal Is Not the Best: Parameter Estimation in Complex Biological Models," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-10, October.
  27. Adel Dayarian & Madalena Chaves & Eduardo D Sontag & Anirvan M Sengupta, 2009. "Shape, Size, and Robustness: Feasible Regions in the Parameter Space of Biochemical Networks," PLOS Computational Biology, Public Library of Science, vol. 5(1), pages 1-12, January.
  28. Joshua Russell-Buckland & Christopher P Barnes & Ilias Tachtsidis, 2019. "A Bayesian framework for the analysis of systems biology models of the brain," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-29, April.
  29. Elba Raimúndez & Simone Keller & Gwen Zwingenberger & Karolin Ebert & Sabine Hug & Fabian J Theis & Dieter Maier & Birgit Luber & Jan Hasenauer, 2020. "Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines," PLOS Computational Biology, Public Library of Science, vol. 16(3), pages 1-21, March.
  30. Borut Kirn, 2019. "Visualization of Myocardial Strain Pattern Uniqueness with Respect to Activation Time and Contractility: A Computational Study," Data, MDPI, vol. 4(2), pages 1-7, May.
  31. Van Kinh Nguyen & Frank Klawonn & Rafael Mikolajczyk & Esteban A Hernandez-Vargas, 2016. "Analysis of Practical Identifiability of a Viral Infection Model," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-16, December.
  32. Alejandro F. Villaverde, 2019. "Observability and Structural Identifiability of Nonlinear Biological Systems," Complexity, Hindawi, vol. 2019, pages 1-12, January.
  33. Filippi Sarah & Barnes Chris P. & Cornebise Julien & Stumpf Michael P.H., 2013. "On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(1), pages 87-107, March.
  34. Amrita X Sarkar & Eric A Sobie, 2010. "Regression Analysis for Constraining Free Parameters in Electrophysiological Models of Cardiac Cells," PLOS Computational Biology, Public Library of Science, vol. 6(9), pages 1-11, September.
  35. Hongwei Shao & Tao Peng & Zhiwei Ji & Jing Su & Xiaobo Zhou, 2013. "Systematically Studying Kinase Inhibitor Induced Signaling Network Signatures by Integrating Both Therapeutic and Side Effects," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-16, December.
  36. Farzaneh Khajouei & Saurabh Sinha, 2018. "An information theoretic treatment of sequence-to-expression modeling," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-24, September.
  37. Stephen J. Beckett & David Demory & Ashley R. Coenen & John R. Casey & Mathilde Dugenne & Christopher L. Follett & Paige Connell & Michael C. G. Carlson & Sarah K. Hu & Samuel T. Wilson & Daniel Murat, 2024. "Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  38. 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.
  39. Zack W Jones & Rachel Leander & Vito Quaranta & Leonard A Harris & Darren R Tyson, 2018. "A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-20, February.
  40. Jonathan R Karr & Alex H Williams & Jeremy D Zucker & Andreas Raue & Bernhard Steiert & Jens Timmer & Clemens Kreutz & DREAM8 Parameter Estimation Challenge Consortium & Simon Wilkinson & Brandon A Al, 2015. "Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models," PLOS Computational Biology, Public Library of Science, vol. 11(5), pages 1-21, May.
  41. Andreas Wagner, 2015. "Causal Drift, Robust Signaling, and Complex Disease," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-29, March.
  42. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.