New machine-learning tool improves accuracy of genomics research (IMAGE)
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The University of Virginia School of Medicine's Chongzhi Zang, PhD, and collaborators have developed a free tool that can correct misleading results generated by a widely use genomic-research method. The tool will give researchers a clearer view of how gene activity is controlled in health and disease and provide stronger foundations for future diagnostic and drug-development efforts.
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UVA Health
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