Gene Expression Analysis

To evaluate potential disease associations of the genes included in the network, each gene’s respective rank-normalized and scaled expression levels were visualized using boxplots. For each gene, expression distributions were compared between the disease conditions represented by samples used in the displayed network. Such a box was drawn if enough (n>=30) samples were available, and only for the “General” networks, i.e. tissue-specific networks including all collected data for that tissue. This approach enables an assessment of expression specificity, providing insights into whether a gene’s expression is predominantly enriched in one of the diseases or more broadly distributed across multiple biological contexts.

Read more about how these results are visualization and how they may be used in Mavatar Discovery under Gene Expressionx.