Fig. 1

Conceptualization of the presented study. A Over 600 context-specific transcriptomic datasets are collected and classified into 98 subcontexts (e.g., heart, astrocyte, and HeLa cell) under 3 major contexts (i.e., tissues, cell types, and cell lines), leveraging the Gemma database [21, 48] B Co-expression networks comprising the most strongly correlated edges observed in each subcontext are generated. C Network analyses provide insights on both common and unique patterns across the multiple contexts studied