Learning-based strategy to predict gene expression and identify regulatory sequences

The research team led by Prof. Guo Guoji and Prof. Han Xiaoping at the Zhejiang University School of Medicine have published an article titled “Deep learning of cross-species single cell landscapes identifies conserved regulatory programs underlying cell types” in the journal Nature Genetics on October 13.


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Source: Phys.org