Deepak R. Unni

Apr 10, 2024 | nature.com | Tiffany J. Callahan |Sanya B. Taneja |Elena Casiraghi |Jonathan Silverstein |Charles Tapley Hoyt |Deepak R. Unni | +7 more

AbstractTranslational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, and methods exist to construct them automatically. However, tackling complex biomedical integration problems requires flexibility in the way knowledge is modeled.