Pages that link to "Item:Q326558"
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The following pages link to A posterior probability approach for gene regulatory network inference in genetic perturbation data (Q326558):
Displaying 16 items.
- Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approach (Q386721) (← links)
- Inferring gene networks using robust statistical techniques (Q458242) (← links)
- Reverse engineering gene regulatory networks using approximate Bayesian computation (Q693367) (← links)
- Gene regulatory networks. Methods and protocols (Q1721981) (← links)
- Inference of gene regulatory networks using Bayesian nonparametric regression and topology information (Q2013987) (← links)
- Mechanistic gene networks inferred from single-cell data with an outlier-insensitive method (Q2066481) (← links)
- A genetic regulatory network based method for multi-objective sequencing problem in mixed-model assembly lines (Q2160641) (← links)
- Inferring gene networks from steady-state response to single-gene perturbations (Q2196901) (← links)
- Large-scale local causal inference of gene regulatory relationships (Q2302806) (← links)
- Dynamic network reconstruction from heterogeneous datasets (Q2662303) (← links)
- Inferring gene regulatory networks by PCA-CMI using Hill climbing algorithm based on MIT score and SORDER method (Q2799334) (← 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)
- Identifying dynamical time series model parameters from equilibrium samples, with application to gene regulatory networks (Q5142250) (← links)
- Context-Specific Nested Effects Models (Q5881355) (← links)
