“…This analysis strategy is built upon the intelligent user-based creation of biomedical domain-specific data clusters curated from GEO, e.g., Crowd Extracted Expression of Differential Signatures (CREEDS) (Wang et al, 2016). These advanced platforms for crowd-sourced H-D data analysis, i.e., CREEDS, GEN3VA, and others [Gene Wiki (Good et al, 2012); BioGPS (Wu et al, 2013)] have already demonstrated their efficacy with respect to assisting biomedical research in multiple aspects of neurodegenerative diseases (Fu and Fu, 2015;Allen et al, 2016), cardiovascular disease (Gottlieb et al, 2015;Scruggs et al, 2015;Rumsfeld et al, 2016), and metabolic dysfunction disorders such as type 1 and type 2 diabetes mellitus (Lau et al, 2016;Fadini et al, 2017;Mudie et al, 2017).…”