The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci

Fischer Daniel

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The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci

机译：用于多因素维度降低的R-Packet Genomicatools和（探索性）定量特质基因座的分析

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摘要

Background and objectives: We introduce the R-package GenomicTools to perform, among others, a Multi-factor Dimensionality Reduction (MDR) for the identification of SNP-SNP interactions. The package further provides a new class of tests for an (exploratory) Quantitative Trait Loci analysis that overcomes some of the limitations of other popular (e)QTL approaches. Popular (e) QTL approaches that use linear models or ANOVA are often based on over-simplified models that have weak statistical properties and which are not robust against outlying observations.

机译：背景和目标：我们介绍了R-Package Genomictools，其中包括用于识别SNP-SNP相互作用的多因素维度减少（MDR）。该包还提供了一种新的一类（探索性）定量特征基点分析的测试，克服了其他流行（e）QTL方法的一些局限性。使用线性模型或ANOVA的流行（e）QTL方法通常基于过度简化的模型，这些模型具有较弱的统计特性，并且对偏远观测不起市并不强大。

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《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2017年第2017期|共7页
作者
Fischer Daniel;
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作者单位

Nat Resources Inst Finland Luke Myllytie 1 Jokioinen Finland;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
eQTL; QTL; MDR; R-package;

机译：EQTL;QTL;MDR;R包;

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1. The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci [J] . Fischer Daniel Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2017,第期

机译：用于多因素维度降低的R-Packet Genomicatools和（探索性）定量特质基因座的分析
2. Model-Based Multifactor Dimensionality Reduction to detect epistasis for quantitative traits in the presence of error-free and noisy data. [J] . Mahachie John JM, Van Lishout F, Van Steen K European journal of human genetics: EJHG . 2011,第6期

机译：基于模型的多因素降维可在无误差和高噪声数据的情况下检测定量特征的上位性。
3. Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction [J] . Huh Iksoo, Park Taesung International journal of data mining and bioinformatics . 2016,第4期

机译：基因-基因相互作用的多个二元性状的多因素降维分析
4. Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies [C] . Yoojung Lee, Hyein Kim, Taesung Park, IEEE International Conference on Bioinformatics and Biomedicine . 2017

机译：基于聚类的多维度降维方法，用于在全基因组研究中鉴定数量特征的基因-基因相互作用
5. Breeding value estimation and quantitative trait loci detection by machine learning methods based on high dimensional single nucleotide polymorphisms dataset. [D] . Wei, Wei. 2009

机译：基于高维单核苷酸多态性数据集的机器学习方法的育种价值估计和数量性状基因座检测。
6. A Simple and Computationally Efficient Approach to Multifactor Dimensionality Reduction Analysis of Gene-Gene Interactions for Quantitative Traits [O] . Jiang Gui, Jason H. Moore, Scott M. Williams, -1

机译：一种用于数量性状的基因-基因相互作用的多因素维数减少分析的简单计算有效方法
7. A Simple and Computationally Efficient Approach to Multifactor Dimensionality Reduction Analysis of Gene-Gene Interactions for Quantitative Traits [O] . Gui Jiang, Moore Jason H., Williams Scott M., 2013

机译：一种用于数量性状的基因-基因相互作用的多因素维数减少分析的简单计算有效方法

The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci

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