Brown, Kevin S.

Universally Sloppy Parameter Sensitivities in Systems Biology Models

Gutenkunst, R. N., Waterfall, J. J., Casey, F. P., Brown, K. S., Myers, C. R., & Sethna, J. P. (2007) · PLoS Computational Biology

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 1,261

Statistical mechanical approaches to models with many poorly known parameters.

Brown, K. S., & Sethna, J. P. (2003) · Physical Review E

Gene Regulatory Network AnalysisControl Systems and Identification

Cited by 398

Cooperation between the default mode network and the frontal–parietal network in the production of an internal train of thought

Smallwood, J., Brown, K., Baird, B., & Schooler, J. W. (2012) · Brain Research

Mind wandering and attentionFunctional Brain Connectivity Studies

Cited by 379

The statistical mechanics of complex signaling networks: Nerve growth factor signaling.

Brown, K. S., Hill, C. C., Calero, G. A., Myers, C. R., Lee, K. H., Sethna, J. P., & Cerione, R. A. (2004) · Physical Biology

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

Cited by 265

Sloppy-model universality class and the Vandermonde matrix.

Waterfall, J. J., Casey, F. P., Gutenkunst, R. N., Brown, K. S., Myers, C. R., Brouwer, P. W., Elser, V., & Sethna, J. P. (2006) · Physical Review Letters

Random Matrices and ApplicationsTheoretical and Computational Physics

Cited by 164

Bayesian ensemble approach to error estimation of interatomic potentials.

Frederiksen, S. L., Jacobsen, K. W., Brown, K. S., & Sethna, J. P. (2004) · Physical Review Letters

Machine Learning in Materials ScienceFusion materials and technologies

Cited by 143

Optimal experimental design in an epidermal growth factor receptor signalling and down-regulation model

Casey, F. P., Baird, D., Feng, Q., Gutenkunst, R. N., Waterfall, J. J., Myers, C. R., Brown, K. S., Cerione, R. A., & Sethna, J. P. (2007) · IET Systems Biology

Optimal Experimental Design MethodsGene Regulatory Network Analysis

Cited by 77