UC Berkeley researchers in the labs of Aaron Streets, Assistant Professor of Bioengineering, and Nir Yosef, Associate Professor of Electrical Engineering and Computer Sciences, have invented a computer algorithm called totalVI. Their approach uses deep learning to integrate gene and protein data about single cells that were gathered from different tissues and donors and that were processed in different labs.
Their algorithm is transformative for projects like the Human Cell Atlas (HCA) as it addresses how to manage, analyze and distribute millions of cells and thousands of genes and proteins data into a single organizational system.
The authors of the study published in Nature Methods are Aaron Streets, Zoë Steier, Nir Yosef, and Adam Gayoso.
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