Jianfeng Yang

Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination

This study improves non-invasive prenatal testing accuracy for 13-/18-/21-trisomy by using a support vector machine model trained on Z values and clinical features, achieving 100% accuracy and correcting false positives/negatives.

Forward-reverse mutation cycles between stages of cancer development

The paper identifies forward-reverse mutation cycles in cancer development by analyzing LOHs and GOHs across non-tumor, paratumor, and tumor tissues in multiple cancer types.