Supplementary materials for "Integration of public DNA methylation and expression networks via eQTMs improves prediction of functional gene–gene associations"

<p>This repository contained supplementary materials&nbsp;in the study named: &quot;<strong>Integration of public DNA methylation and expression networks via eQTMs improves prediction of functional gene&ndash;gene associations.</strong>&quot;</p> <p>For extracting all files from the downloaded tar.gz file, the following commanda could be used:</p> <pre><code>tar -xf supplementary_materials.tar.gz </code></pre> <p>The supplementary_materials/data diretcory contains the following sections:</p> <p></p> <ol> <li>eqtm_predictions: This contains the training and testing datasets for the eQTM prediction procedures</li> <li>public_methylation_data_and_pca: This contains the harmonized public DNA methylation dataset and its first 100 PCA components</li> <li>cca_data: This contains the CCA components for the public DNA methylation and gene expression datasets for the negative eQTMs, and the input datasets for the functional gene pair prediction analylsis.</li> <li>gene_enrichment_results_for_cca: This contains the gene enrichment results for the CCA components for negative and positive eQTMs</li> </ol> <p>The supplementary_materials/model directory contains the following sections:</p> <ol> <li>disease_tissue_predictions: This contains the models trained for tissue prediction and disease prediction based on the PCA components from the public DNA methylation data</li> <li>eqtm_predictions: This contains models trained for eQTM prediction</li> <li>cca_transformations: This contains CCA transformation models and models for STRING gene pair predictions&nbsp;&nbsp;</li> </ol>