Pages that link to "Item:Q386721"
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The following pages link to Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach (Q386721):
Displaying 13 items.
- Learning quantitative sequence-function relationships from massively parallel experiments (Q290475) (← links)
- Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach (Q386721) (← links)
- Inferring biomolecular interaction networks based on convex optimization (Q935991) (← links)
- An improved method for inference of piecewise linear systems by detecting jumps using derivative estimation (Q963754) (← links)
- Inference of an oscillating model for the yeast cell cycle (Q1026183) (← links)
- Effect of environmental stress on regulation of gene expression in the yeast (Q1618450) (← links)
- Inferring gene networks from steady-state response to single-gene perturbations (Q2196901) (← links)
- A data-driven method to learn a jump diffusion process from aggregate biological gene expression data (Q2243120) (← links)
- Optimal design of non-equilibrium experiments for genetic network interrogation (Q2343702) (← links)
- Bayesian inference of gene regulatory networks: From parameter estimation to experimental design (Q2902552) (← links)
- Second order optimization for the inference of gene regulatory pathways (Q3191804) (← links)
- MANIA: A GENE NETWORK REVERSE ALGORITHM FOR COMPOUNDS MODE-OF-ACTION AND GENES INTERACTIONS INFERENCE (Q3552545) (← links)
- Design of input assignment and feedback gain for re‐stabilizing undirected networks with High‐Dimension Low‐Sample‐Size data (Q6194558) (← links)
