此分类算法首先计算未知类别样本的重构系数，定义一种误差作为判别标准，根据此误差的大小判断样本的类别归属。
This algorithm firstly computes the reconstruction weights of unknown samples. Then an error, on which the class of samples can be decided based, is defined as a criterion.
另一方面，这个判断是基于一个小样本的。
On the other hand, this estimate is based on a small sample.
在不久的将来，研究人员将组织患者，通过对他们的组学样本的研究来判断他们对某种疗法是否敏感。
In the near future, organized and active patients will start providing their own genetic samples for omics-based trials to determine whether they will respond to particular therapies.
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