利用转换器进行半监督的病原性预测,具有软标签

Pablo Enrique Guillem1,2, Marco Zurdo-Tabernero2,3, Noelia Egido Iglesias2

  • 1AIR Institute, IoT Digital Innovation Hub, Salamanca, Spain.

概括

这项研究引入了一个深度学习模型,从下一代测序 (NGS) 数据中预测遗传变异病原性. 该模型实现了高精度,通过改进的变体解释来推进个性化医疗.

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