Biomedical Engineering Reference
In-Depth Information
64. Zak, D.E., Gonye, G.E., Schwaber, J.S., Doyle III, F.J.: Importance of input perturbations and
stochastic gene expression in the reverse engineering of genetic regulatory networks: insights
from an identifiability analysis of an in silico network. Genome Res. 13, 2396-2405 (2003)
65. Gadkar, K.G., Varner, J., Doyle III, F.J.: Model identification of signal transduction networks
from data using a state regulator problem. IEEE Syst. Biol. 2, 17-30 (2005)
66. Geris, L., Gerisch, A., Maes, C., Van Oosterwyck, H., Carmeliet, G., Weiner, R., Vander
Sloten, J.: Mathematical modeling of fracture healing in mice: comparison between
experimental data and numerical simulation results. Med. Biol. Eng. Comput. 44(4), 280-289
(2006)
67. Isaksson, H., van Donkelaar, C.C., Huiskes, R., Yao, J., Ito, K.: Determining the most
important cellular characteristics for fracture healing using design of experiments methods.
J. Theor. Biol. 255(1), 26-39 (2009)
68. Cumming, G., Fidler, F., Vaux, D.L.: Error bars in experimental biology. J. Cell Biol. 177,
7-11 (2007)
69. Brown, K.S., Sethna, J.P.: Statistical mechanical approaches to models with many poorly
known parameters. Phys. Rev. E 68, 021904 (2003)
70. Brown, K.S., Hill, C.C., Calero, G.A., Myers, C.R., Lee, K.H., et al.: The statistical
mechanics of complex signaling networks: nerve growth factor signaling. Phys. Biol. 1,
184-195 (2004)
71. Brodersen, R., Nielsen, F., Christiansen, J.C., Andersen, K.: Characterization of binding
equilibrium data by a variety of fitted isotherms. Eur. J. Biochem. 169, 487-495 (1987)
72. Gutenkunst, R.N., Waterfall, J.J., Casey, F.P., Brown, K.S., Myers, C.R., Sethna, J.P.:
Universally sloppy parameter sensitivities in systems biology models. PLoS Comput. Biol.
3(10), 1871-1878 (2007)
73. Gutenkunst, R.N., Casey, F.P., Waterfall, J.J., Myers, C.R., Sethna, J.P.: Extracting falsifiable
predictions from sloppy models. Ann. N. Y. Acad. Sci. 1115, 203-211 (2007)
74. Ashbourn, J.M., Miller, J.J., Reumers, V., Baekelandt, V., Geris, L.: A mathematical model
of adult subventricular neurogenesis. J. R. Soc. Interface (2012). doi: 10.1098/rsif.2012.0193
75. Daniels, B.C., Chen, Y.J., Sethna, J.P., Gutenkunst, R.N., Myers, C.R.: Sloppiness,
robustness, and evolvability in systems biology. Curr. Opin. Biotechnol. 19(4), 389-395
(2008)
76. Casey, F.P., Baird, D., Feng, Q., Gutenkunst, R.N., Waterfall, J.J., et al.: Optimal
experimental design in an epidermal growth factor receptor signalling and down-regulation
model. IET Syst. Biol. 1, 190-202 (2007)
Search WWH ::




Custom Search