Extracting falsifiable predictions from sloppy models

Annals of the New York Academy of Sciences

Volumn 1115, Issue , 2007, Pages 203-211

  Gutenkunst, Ryan N ^a   Casey, Fergal P ^b   Waterfall, Joshua J ^c   Myers, Christopher R ^c   Sethna, James P ^a  

^a Laboratory of Atomic and Solid State Physics and Sibley School of Mechanical and Aerospace Engineering   (United States)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

^c NONE   (United States)

Author keywords

Covariance analysis; Monte Carlo; Prediction uncertainties; Sloppy models; Systems biology

Indexed keywords

ASSAY; BIOLOGY; COMMUNITY; COMPARATIVE STUDY; CONFERENCE PAPER; COVARIANCE; EXTRACTION; MODEL; MONTE CARLO METHOD; PARAMETER; PREDICTION; STANDARD; UNCERTAINTY;

EID: 36248970060     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1196/annals.1407.003     Document Type: Conference Paper

References (11)

1. BROWN, K.S. & J.P. SETHNA. 2003. Statistical mechanical approaches to models with many poorly known parameters. Phys. Rev. E 68: 021904.
2. GUTENKUNST, R.N. et al. 2007. Universally sloppy parameter sensitivities in systems biology models. PLoS Comp. Biol. 3: e189.
3. WATERFALL, J.J. et al. 2006. The sloppy model universality class and the Vandermonde matrix. Phys. Rev. Lett. 97: 150601.
4. BROWN, K.S. et al. 2004. The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys. Biol. 1: 184-195.
5. EDELSTEIN, S.J. et al. 1996. A kinetic mechanism for nicotinic acetylcholine receptors based on multiple allosteric transitions. Biol. Cybern. 75: 361-379.
6. LELOUP, J.-C. & A. GOLDBETER. 1999. Chaos and birhythmicity in a model for circadian oscillations of the PER and TIM proteins in Drosophila. J. Theor. Biol. 198: 445-459.
7. BATES, D.M. & D.G. WATTS. 1980. Relative curvature measures of nonlinearity. J. Roy. Stat. Soc. B Met. 42: 1-25.
8. CHIB, S. & E. GREENBERG. 1989. Understanding the Metropolis-Hastings algorithm. Am. Stat. 49: 327-335.
9. HUCKA, M. et al. 2003. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics 19: 524-531.
10. GUTENKUNST, R.N. et al. 2007. SloppyCell. http://sloppycell.sourceforge.net.
11. LANCZOS, C. 1956. Applied Analysis. Prentice Hall, Inc. Englewood Cliffs, NJ.