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.
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Trechos de apoio da pauta: 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 generated using this method, giving researchers a clearer view of how gene activity is controlled in health and disease and providing stronger foundations for future diagnostic and drug-development efforts.
- Ponto de atenção: machine.
- Ponto de atenção: learning.
- Ponto de atenção: tool.
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