Browsing by Author "Meyer, Patrick E."

Now showing items 1-4 of 4

    • Efficient combination of pairwise feature networks 

      Bellot Pujalte, Pau; Meyer, Patrick E. (2014)
      Conference lecture
      Restricted access - publisher's policy
      This paper presents a novel method for the reconstruction of a neural network connectivity using calcium fluorescence data. We introduce a fast unsupervised method to integrate different networks that reconstructs ...

    • NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference 

      Bellot Pujalte, Pau; Olsen, Catharina; Salembier Clairon, Philippe Jean; Oliveras Vergés, Albert; Meyer, Patrick E. (2015-09-29)
      Article
      Open Access
      Background: In the last decade, a great number of methods for reconstructing gene regulatory networks from expression data have been proposed. However, very few tools and datasets allow to evaluate accurately and reproducibly ...

    • Study of meta-analysis strategies for network inference using information-theoretic approaches 

      Pham, Ngoc C.; Haibe-Kains, Benjamin; Bellot Pujalte, Pau; Bontempi, Gianluca; Meyer, Patrick E. (2016)
      Conference report
      Open Access
      Reverse engineering of gene regulatory networks (GRNs) from gene expression data is a classical challenge in systems biology. Thanks to high-throughput technologies, a massive amount of gene-expression data has been ...

    • Unsupervised GRN Ensemble 

      Bellot, Pau; Salembier Clairon, Philippe Jean; Pham, Ngoc C.; Meyer, Patrick E. (Springer, 2019)
      Part of book or chapter of book
      Restricted access - publisher's policy
      Inferring gene regulatory networks from expression data is a very challenging problem that has raised the interest of the scientific community. Different algorithms have been proposed to try to solve this issue, but it has ...