10 items found

Tags: Regulatory networks

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  • dataset

    Additional file 1 of Accelerated parallel algorithm for gene network reverse ...

    Source code. The source code developed are available in the Bitbucket repository: https://github.com/califano-lab/GPU-ARACNE . (ZIP 25 kb)
  • dataset

    Benchmarks.

    List of the benchmark problems used in the comparisons.
  • dataset

    r37980778c78--1a7c74203224a25fc70f55cc8ad8b873

    MIDER toolbox. This compressed file contains the MIDER toolbox, which is implemented in Matlab. It includes all the datasets used in this article, the source code of the MIDER...
  • dataset

    Model parameters.

    aSpecified with reference to Cook [30] and Waage et al. [36] using distributions defined in Biosecurity Australia [31]; b Derived from Sapoukhina et al. [37]; c ABS [6], Note...
  • dataset

    Additional file 1: of The developmental origins of sex-biased expression in c...

    Table S1. List of antibodies used for ChIP-seq (XLSX 9 kb)
  • dataset

    Additional file 15: of The developmental origins of sex-biased expression in ...

    Dataset S9. Sex-biased Genes Shared between Human and Mouse Adult Hearts (XLSX 13 kb)
  • publication

    SBMLsqueezer 2: context-sensitive creation of kinetic equations in biochemica...

    Background The size and complexity of published biochemical network reconstructions are steadily increasing, expanding the potential scale of derived computational models....
  • publication

    Accelerated parallel algorithm for gene network reverse engineering

    Background The Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNE) represents one of the most effective tools to reconstruct gene regulatory networks from...
  • dataset

    Additional file 3: of The developmental origins of sex-biased expression in c...

    Dataset S1. Genes in blue/violet module eigengene (XLSX 29 kb)
  • dataset

    dedup_wf_001--d79c253f7545a8d687975dd49dc89542

    Table S2. Accession and metadata of all samples analyzed in this study (XLSX 10 kb)