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Functional impact of multi-omic interactions in breast cancer subtypes

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SGCCA

Here we have all the code related to the analysis presented in the "Functional impact of multi-omic interactions in breast cancer subtypes" by Soledad Ochoa and Enrique Hernández-Lemus Check https://github.com/mSolEdadO/TCGAmiRmethyRNAIntegration/tree/master/sgcca for history

Order to repeat the analysis

  1. Get the data into matrixes
    1.1 getData.R
    1.2 prepro-mRNA.R
    1.3 prepro-miRNA.R
    1.4 prepro-methy.R,
    1.5 concatena.R
    1.6 mfa_normi.R
  2. SGCCA
    2.1 fit_penalty.R
    2.2 choose_penalty.R
    2.3 sgcca.R
    2.4 sgccaSubsample.R
    2.5 joinSubsamples.R
  3. SGCCA functional enrichment
    3.1 selectedFeatures.R
    3.2 functions_overrepre.R
    3.3 functions_overrepre_plots.R
    3.4 functions_overrepre_groups.R
    3.5 functionsJaccard.R
  4. MI networks for the enriched functions
    4.1 get_matrix.R
    4.2 https://github.com/CSB-IG/ARACNE-multicore
    change run.sh because filenames are different
    line 12 → nom=$(echo $ftsv | cut -d'.' -f 1,2,3)
    line 23 → n=$( (cd adj; ls) | head -1 | cut -d'.' -f 4 )###check when MI is restricted
    4.3 MIfilter.R
    4.4 plotGraph.R
    4.5 annotateGraph.R

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