Pages that link to "Item:Q665132"
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The following pages link to Inferring stable genetic networks from steady-state data (Q665132):
Displaying 14 items.
- Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach (Q386721) (← links)
- Fitting Boolean networks from steady state perturbation data (Q458193) (← links)
- Data identification for improving gene network inference using computational algebra (Q486662) (← links)
- Probabilistic methods in cancer biology (Q693685) (← links)
- Gene feature interference deconvolution (Q709174) (← links)
- Inference of signaling and gene regulatory networks by steady-state perturbation experiments: structure and accuracy (Q776529) (← links)
- An analytical study of the number of steady states in gene regulatory networks (Q776608) (← links)
- Inferring biomolecular interaction networks based on convex optimization (Q935991) (← links)
- Multi-criterion optimization for genetic network modeling (Q947412) (← links)
- Learning low-complexity autoregressive models via proximal alternating minimization (Q1729071) (← links)
- Blind identification of fully observed linear time-varying systems via sparse recovery (Q1737658) (← links)
- Inferring gene networks from steady-state response to single-gene perturbations (Q2196901) (← links)
- Invalidation of the structure of genetic network dynamics: a geometric approach (Q4909337) (← links)
- Scalable reverse‐engineering of gene regulatory networks from time‐course measurements (Q6152814) (← links)
