Supplementary Materials: The molecular landscape of premature aging diseases defined by multilayer network exploration

<p>This dataset contains supplementary materials related to study "The molecular landscape of premature aging diseases defined by<br>multilayer network exploration" (Beust C., Valdeolivas A., Baptista A., Bri&egrave;re G., L&eacute;vy N., Ozisik O., Baudot A.)</p> <p>Supplementary Figures: &nbsp;<br>Supplementary Figure S1: Clustering of the premature aging disease communities obtained with 50 iterations of &nbsp;itRWR &nbsp;<br>Supplementary Figure S2: Clustering of the premature aging disease communities obtained with 150 iterations of &nbsp;itRWR &nbsp;<br>Supplementary Figure S3: Clustering of the premature aging disease communities obtained with 100 iteration of &nbsp;itRWR, with a cutoff value at 0.5 on the dendrogram &nbsp;</p> <p>Supplementary Tables: &nbsp;<br>Supplementary Table S1: Premature Aging HPO phenotypes &nbsp;<br>Supplementary Table S2:Tthe 67 PA diseases and their 132 associated genes from ORPHANET &nbsp;<br>Supplementary Table S3: Number of nodes, edges, and densities of the 4 network layers composing the multilayer &nbsp;biological network &nbsp;<br>Supplementary Table S4: Parameters used for MultiXrank &nbsp;</p> <p>Supplementary Files: &nbsp;<br>Supplementary File S1: Csv file containing the enrichment analysis results computed using the genes associated with &nbsp;physiological aging &nbsp;<br>Supplementary File S2: Excel file containing the gene nodes belonging to each of the 67 communities &nbsp;<br>Supplementary File S3: Excel file containing the gene nodes belonging to each cluster (i.e., the union of the genes belonging to the set of communities composing the cluster) &nbsp;<br>Supplementary File S4: Csv file containing the diseases belonging to each cluster &nbsp;<br>Supplementary File S5: Excel file containing the enrichment of clusters using lists of physiological aging genes &nbsp;<br>Supplementary File S6: Csv file containing the lists of genes differentially expressed in human blood, skin, brain, muscle and breast during aging, from the study of Irizar et al. &nbsp;<br>Supplementary File S7: Excel file containing the enrichment analysis results of the 67 communities, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations &nbsp;<br>Supplementary File S8: Excel file containing the enrichment analysis results of the 6 clusters, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations. The last 2 columns contain &nbsp;the seed nodes of the cluster annotated for the corresponding function and their corresponding diseases. <br>Supplementary File S8bis: Excel file containing the enrichment analysis results of the 8 clusters obtained with an alternative cutoff of 0.5 in the dendrogram, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations.<br>Supplementary File S9: Excel file containing enrichment analysis results of the 6 clusters, using HPO phenotypes &nbsp;</p> <p>Supplementary Text: &nbsp;<br>Supplementary Text S1: Comparison with alternative network exploration strategies, including classical (non- iterative) Random Walk with Restart, Multilayer network partitioning, and computation of network distances with shortest paths.</p> <p>&nbsp;</p> <p>&nbsp;</p>