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An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis

机译：改进的基于模糊集的多因素降维检测上位性

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摘要

Objective: Epistasis identification is critical for determining susceptibility to human genetic diseases. The rapid development of technology has enabled scalability to make multifactor dimensionality reduction (MDR) measurements an effective calculation tool that achieves superior detection. However, the classification of high-risk (H) or low-risk (L) groups in multidrug resistance operations calls for extensive research.Methods and material: In this study, an improved fuzzy sigmoid (FS) method using the membership degree in MDR (FSMDR) was proposed for solving the limitations of binary classification. The FS method combined with MDR measurements yielded an improved ability to distinguish similar frequencies of potential multifactor genotypes.Results: We compared our results with other MDR-based methods and FSMDR achieved superior detection rates on simulated data sets. The results indicated that the fuzzy classifications can provide insight into the uncertainty of H/L classification in MDR operation.Conclusion: FSMDR successfully detected significant epistasis of coronary artery disease in the Wellcome Trust Case Control Consortium data set.
机译：目的：鉴定上位性对于确定人类遗传疾病的敏感性至关重要。技术的飞速发展使得可扩展性使多维度降维（MDR）测量成为实现出色检测的有效计算工具。然而，在多药耐药性操作中对高风险（H）组或低风险（L）组的分类需要广泛的研究。方法和材料：在这项研究中，使用MDR中隶属度的改进的模糊乙状结肠（FS）方法（FSMDR）被提出来解决二进制分类的局限性。 FS方法与MDR测量相结合可提高识别相似频率的潜在多因子基因型的能力。结果：我们将我们的结果与其他基于MDR的方法进行了比较，FSMDR在模拟数据集上实现了更高的检测率。结果表明，模糊分类可以提供对MDR手术中H / L分类不确定性的认识。结论：FSMDR成功地在Wellcome Trust Case Control Consortium数据集中检测出明显的冠状动脉疾病上位性。

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  • 来源
    《Artificial intelligence in medicine》 |2020年第1期|101768.1-101768.7|共7页
  • 作者

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

  • 作者单位

    Natl Kaohsiung Univ Sci & Technol Dept Elect Engn 415 Jiangong Rd Kaohsiung 80778 Taiwan|Kaohsiung Med Univ PhD Program Biomed Engn 100 Shih Chuan 1st Rd Kaohsiung 80708 Taiwan;

    I Shou Univ Dept Chem Engn 1 Sec 1 Syuecheng Rd Kaohsiung 84001 Taiwan|I Shou Univ Inst Biotechnol & Chem Engn 1 Sec 1 Syuecheng Rd Kaohsiung 84001 Taiwan;

    Natl Kaohsiung Univ Sci & Technol Dept Elect Engn 415 Jiangong Rd Kaohsiung 80778 Taiwan;

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  • 正文语种 eng
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  • 关键词

    Fuzzy set; Epistasis; Multifactor dimensionality reduction; Classification;

    机译：模糊集;上皮多因素降维;分类;

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