【和山数学论坛191期】浙江理工大学杨建萍副教授学术报告

信息来源:学院办公室 点击次数:发布时间:2019-06-19

题目:Non-monotone Transformation of Biomarkers to Improve Diagnostic and Screening Accuracy in a DNA Methylation Study

主讲人:杨建萍

时间:2019年6月21日(周五10:00-11:00

地点:A4-305(报告厅)

报告摘要:We propose a non-monotone transformation to biomarkers in order to improve the diagnostic and screening accuracy. The proposed quadratic transformation only involves modeling the distribution means and variances of the biomarkers and is therefore easy to implement in practice. Mathematical justification was rigorously established to support the validity of the proposed transformation. We conducted extensive simulation studies to assess the performance of the proposed method and compared the new method with the traditional methods. Case studies on real biomedical and epigenetics data were provided to illustrate the proposed transformation. In particular the proposed method improved the AUC values for a large number of markers in a DNA methylation study and consequently led to the identification of greater number of important biomarkers and biologically meaningful genetic pathways.

报告人简介:杨建萍,博士毕业于中国科学技术大学统计学专业,现为浙江理工大学数学科学系副教授,主要研究方向包括随机比较、风险管理、生物统计等。多年来一直从事随机比较理论及其应用的研究工作,已在Insurance: Mathematics & Economics, Statistics & Probability Letters, Probability in the Engineering and Informational Sciences 等国外SCI 期刊上发表论文。目前正主持国家自然科学基金青年项目1 项、参与完成国家自然科学基金面上项目1 项、主持及参与浙江省自然科学基金青年基金项目各1 项,主持完成横向课题1项等。

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