Linear-time varying models can reveal non-linear interactions of biomolecular regulatory networks using multiple time-series data

Mathematics

• Multiple Time Series 100%
• Regulatory Networks 99%
• Nonlinear Interaction 90%
• Time Series Data 80%
• Time-varying 63%
• Linear Time 57%
• Interaction 39%
• Time series 29%
• Profile 28%
• Model 21%
• Saccharomyces Cerevisiae 17%
• Optimization Problem 15%
• Cell Cycle 14%
• Phase Portrait 13%
• Multiplicity of Solutions 12%
• Invariant 12%
• Nonlinear Optimization 12%
• Availability 11%
• Filtering 11%
• Nonlinear Model 10%
• Software 9%
• Nonlinear Problem 9%
• Oscillation 8%
• Experiment 8%
• Cell 8%
• Nonlinearity 8%
• Perturbation 7%

Engineering & Materials Science

• Time series 57%
• Nonlinear networks 18%
• Linear networks 17%
• Yeast 15%
• Cells 12%
• Availability 9%
• Set theory 8%

Medicine & Life Sciences

• Dictyostelium 21%
• Nonlinear Dynamics 10%
• Saccharomyces cerevisiae 7%
• Cell Cycle 6%
• Software 6%