Neural network fills in data gaps for spatial analysis of chromosomes

Computational methods used to fill in missing pixels in low-quality images or video also can help scientists provide missing information for how DNA is organized in the cell, computational biologists at Carnegie Mellon University have shown.


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Source: Phys.org