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DNA Method for predicting cancer type based on DNA copy number variation

机译:基于DNA拷贝数变异的DNA预测癌症类型的方法

摘要

The present invention relates to a method for predicting cancer species based on DNA replication number variation. According to the present invention, a cancer species classification model and a cancer species prediction model based on the DNA replication number variation, and the cancer species prediction method based on the DNA replication number variation using the same can predict, by using appropriate machine learning algorithms, cancer and diagnose cancer with high sensitivity and specificity, which is noninvasive rather than the conventional method. In particular, the present invention allows to predict cancer and diagnose various cancers using a single prediction model, can be applied to liquid biopsy using an ideal diagnostic specimen, urine, blood, etc., and can be usefully used in the cancer diagnosis and genome market in the future.
机译:本发明涉及基于DNA复制数变化预测癌症种类的方法。根据本发明,通过使用适当的机器学习算法,可以预测基于DNA复制数变化的癌症种类分类模型和癌症种类预测模型,以及基于DNA复制数变化的基于DNA复制数量变化的癌症种类预测方法。 ,癌症并以高灵敏度和特异性诊断癌症,这是非侵入性而非常规方法。特别地,本发明允许使用单个预测模型来预测癌症并诊断各种癌症,可以使用理想的诊断样本,尿液,血液等将其应用于液体活检,并且可以有效地用于癌症诊断和基因组中。未来的市场。

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