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Modification of the algorithm for Statistical Modeling and Analysis of Experiments without ANOVA applied to gene regulatory network (GRN) inference.

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Statmodel

Modification of the algorithm for Statistical Modeling and Analysis of Experiments without ANOVA [1] applied to gene regulatory network (GRN) inference.

Tested on MATLAB R2016a with the Parallel Computing Toolbox.

Required Input

  • genes = cell array (# of genes,1) of genes names.
  • transcription factors = cell array (# of TFs, 1) of TFs names.
  • expressiondata = numeric matrix (# of genes, # of conditions) of the gene expression data.

Output

  • Net = Inferred network write as 3-column cell array
    • Column 1 = Regulator
    • Column 2 = Target Gene
    • Column 3 = score of the interaction (the higher the score, the more likely the interaction)

Bibliography

[1] Hernandez, Hugo. "Statistical Modeling and Analysis of Experiments without ANOVA." ForsChem Research Reports 5 (2018). DOI: 10.13140/RG.2.2.21499.00803

License

This project is licensed under the GNU General Public License. For the exact terms please see the [LICENSE file]

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Modification of the algorithm for Statistical Modeling and Analysis of Experiments without ANOVA applied to gene regulatory network (GRN) inference.

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