New machine-learning tool improves accuracy of genomics research
University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for studying the genome and created a machine-learning tool to correct it. The free tool could improve the reliability of both conventional and single-cell data g
University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for studying the genome and created a machine-learning tool to correct it. The free tool could improve the reliability of both conventional and single-cell data g This story matters for Science & Discovery readers tracking student. Reported by phys.org. Read the full original at the source link below.
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