上位性检测的改进多因素降维

2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2018-10-01 DOI:10.1109/BIBE.2018.00057

Li-Yeh Chuang, Cheng-Hong Yang, Yu-Da Lin

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引用次数: 1

摘要

上位性检测有助于确定对疾病的易感性。提出了多因素降维法(MDR)和多目标降维法(MOMDR)进行上位性检测。然而，必须为MOMDR研究更多的措施。在本研究中，我们将约登指数(YI)和正确分类率(CCR)纳入MOMDR (MOMDR- yc)中进行上位检测。通过模拟比较基于mdr的YI (MDR-Y)、基于mdr的CCR (MDR-C)和MOMDR-YC。并给出了三种方法的检测成功率。MOMDR-YC表明，YI和CCR措施可以提高MDR的检测成功率。仿真结果表明，将YI和CCR结合到MOMDR中可以成功地检测到上位性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improved Multifactor Dimensionality Reduction for Epistasis Detection

Epistasis detection facilitates determining susceptibility to disease. Multifactor dimensionality reduction (MDR) and multiobjective MDR (MOMDR) were proposed for epistasis detection. However, more measures must be investigated for MOMDR. In this study, we incorporated the Youden index (YI) and correct classification rate (CCR) into MOMDR (MOMDR-YC) for epistasis detection. Simulations were conducted to compare MDR-based YI (MDR-Y), MDR-based CCR (MDR-C), and MOMDR-YC. Moreover, the detection success rates of the three approaches are presented. MOMDR-YC revealed that the YI and CCR measures can enhance the detection success rates of MDR. The simulation results revealed that epistasis could be successfully detected by incorporating YI and CCR into MOMDR.

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来源期刊

2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)

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