Network inference

December 20, 2022

  1. ebdbNet: Empirical Bayes estimation for dynamic Bayesian networks đź”—

  1. Monneret, G., Jaffrézic, F., Rau, A., Zerjal, T. and Nuel, G. (2017) Identification of marginal causal relationships in gene networks from observational and interventional expression data. PLoS One, 12(3): e0171142. 🔗 📄 🔢

  2. Monneret, G., Jaffrézic, F., Rau, A., Nuel, G. (2015) Estimation d’effets causaux dans les réseaux de régulation génique : vers la grande dimension. Revue d’intelligence artificielle, 29(2): 205-227. 📄 🔢

  3. Nuel, G., Rau, A., and Jaffrézic, F. (2013) Using pairwise ordering preferences to estimate causal effects in gene expression from a mixture of observational and intervention experiments.. Quality Technology and Quantitative Management, 11(1):23-37. 🔗 📄

  4. Rau, A., Jaffrézic, F., and Nuel, G. (2013) Joint estimation of causal effects from observational and intervention gene expression data. BMC Systems Biology, 8:51. 🔗 📄 🔢

  5. Gallopin, M. Rau, A., and Jaffrézic, F. (2013) A hierarchical Poisson log-normal model for network inference from RNA sequencing data. PLoS One, 8(10): e77503. 🔗 📄

  6. Rau, A., Jaffrézic, F., Foulley, J.-L., and Doerge, R. W. (2012) Reverse engineering gene regulatory networks using approximate Bayesian computation. Statistics and Computing, 22: 1257-1271. 🔗 📄 🔄

  7. Rau, A., Jaffrézic, F., Foulley, J.-L., and Doerge, R. W. (2010) An empirical Bayesian method for estimating biological networks from temporal microarray data. Statistical Applications in Genetics and Molecular Biology, 9(1): 9. 🔗 📄 💻

Posted on:
December 20, 2022
Length:
2 minute read, 227 words
Categories:
projects
Tags:
hugo-site
See Also:
RNA-seq co-expression
Outreach
Multi-omic data integration