Gene Network Inference

1. Simulation of the Benchmark Datasets
Andrea Pinna, Nicola Soranzo, Alberto de la Fuente, Ina Hoeschele

2. A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context
David Allouche, Christine Cierco-Ayrolles, Simon de Givry, Gérald Guillermin, Brigitte Mangin, Thomas Schiex, Jimmy Vandel, Matthieu Vignes

3. Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetics Data
Sandra Heise, Robert J. Flassig, Steffen Klamt

4. Differential Equation Based Reverse-Engineering Algorithms: Pros and Cons
Gennaro Gambardella, Roberto Pagliarini, Francesco Gregoretti, Gennaro Oliva, Diego di Bernardo

5. Gene Regulatory Network Inference from Systems Genetics Data Using Tree-Based Methods
Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

6. Extending Partially Known Networks
Pegah Tavakkolkhah, Robert Küffner

7. Integration of Genetic Variation as External Perturbation to Reverse Engineer Regulatory Networks from Gene Expression Data
Francesco Sambo, Tiziana Sanavia, Barbara Di Camillo

8. Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data
Luan Lin, Jun Zhu

Avainsanat: Life Sciences, Systems Biology, Bioinformatics, Biological Networks, Systems Biology, Computer Appl. in Life Sciences, Gene Expression