data-driven predictions of gene expression, function, regulation, and interactions in human

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HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations.

Genomics data compendium
data heatmap
brain functional network


HumanBase models tissue-specific gene interactions by leveraging experimentally verified tissue expression and gene function to learn from an immense data compendium of diverse tissues and cell-types. The resulting functional networks accurately capture tissue-specific gene function.

IL1B in mononuclear phagocyte


Tissue-specific networks can guide genome-wide association (GWAS) analysis by effectively reprioritizing the associations from a GWAS study. With NetWAS (Network-guided GWAS Analysis), HumanBase can aide researchers in identifying additional disease-associated genes.

NetWAS analysis