Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform

Andrea Olsen; Zachary Harpaz; Christopher Ren; Anastasia Shneyderman; Alexander Veviorskiy; Maria Dralkina; Simon Konnov; Olga Shcheglova; Frank W. Pun; Geoffrey Ho Duen Leung; Hoi Wing Leung; Ivan V. Ozerov; Alex Aliper; Mikhail Korzinkin; Alex Zhavoronkov

doi:doi:10.18632/aging.204678

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Research Paper Volume 15, Issue 8 pp 2863—2876

Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform

Figure 2. Correlation analysis. UpSet plots [30] representing the overlap of positively (A) and negatively (B) correlated with age genes across 12 transcriptomic datasets. The combination matrix identifies the intersections, while the bars on top represent the size of each intersection divided into significantly and not significantly (NS) correlated genes. Bars on the left depict the overall amount of correlated genes in each dataset.