Predicted probabilities of association between all genes (rows) and diseases (columns).
The features (columns) computed for each gene-disease pair (rows). Column names with beginning with 'XB' refer to standardized features.
Standardized and unstandardized coefficients from the ridge and lasso logistic regression models.
Information on the included protein-coding genes, derived from the HGNC database.
All diseases with at least one GWAS-Catalog-extracted association. The manual pathophysiology classification is included.
A processed version of the GNF BodyMap providing a gene's (row, HGNC symbols) expression value for each of 77 tissues (columns, BRENDA Tissue Ontology IDs).
All gene-disease associations extracted from the GWAS catalog for the four categories of association.
The associated gene-disease loci (regions) derived from the GWAS Catalog.
Literature co-occurrence between diseases and tissues calculated using CoPub 5.0.
Protein-protein interactions processed from iRefIndex using ppiTrim. ppiTrim converts to gene space, consolidates duplicate interactions, and removes complexes.
A JSON formatted text file storing the complete network. The top level is an JSON object with four pairs (metanodes, metaedges, nodes, edges). The value for each pair is a JSON array containing the corresponding items.
A table of network edges (sif format) and a table of node attributes.
PDF formatted versions of the figures.