[PDF] Top 20 An R package implementation of multifactor dimensionality reduction
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An R package implementation of multifactor dimensionality reduction
... traditional implementation, MDR is considered both statistically and genetically non-parametric because it does not estimate any statistical model parameters or assume a particular genetic inheritance mode ...the ... See full document
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Vitamin D receptor gene polymorphisms are associated with triceps skin fold thickness and body fat percentage but not with body mass index or waist circumference in Han Chinese
... BFP: Body fat percentage; BM: Body mass index; CVC: Cross-validation consistency; GMDR: General multifactor dimensionality reduction; HDL- C: High-density lipoprotein cholesterol; HWE: H[r] ... See full document
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Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions
... heritability. Multifactor dimensionality reduction (MDR) is one of most commonly used methods for GGI ...generalized multifactor dimensionality reduction (GMDR) method is an ... See full document
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Identification of epistatic interactions through genome-wide association studies in sporadic medullary and juvenile papillary thyroid carcinomas
... the Multifactor-dimensionality reduction (MDR) method ...the dimensionality of SNP data improving the identification of combinations of polymorphisms associated with disease ...the ... See full document
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A robustness study of parametric and non-parametric tests in model-based multifactor dimensionality reduction for epistasis detection
... Model-Based Multifactor Dimensionality Reduction (MB-MDR) is a data mining tech- nique that enables the fast identification of gene-gene interactions among thousands of SNPs, without the need to make ... See full document
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Multifactor dimensionality reduction: An analysis strategy for modelling and detecting gene - gene interactions in human genetics and pharmacogenomics studies
... a multifactor combination could be assigned a classification of ‘high risk’ or ‘low risk’ simply because of the numerical dominance of one disease class in the ... See full document
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Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype
... higher-order dimensionality, which Ritchie et ...the multifactor dimensionality reduc- tion (MDR) method, now commonly used to analyze gene-gene interactions in genetic studies [6, ...generalized ... See full document
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Multifactor dimensionality reduction analysis identifies specific nucleotide patterns promoting genetic polymorphisms
... Results: We modeled the relationship between DNA sequence and observed polymorphisms using the novel multifactor dimensionality reduction (MDR) approach. MDR was originally developed to detect ... See full document
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Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR)
... cardiovascular, metabolic and inflammatory phenotypes [24]. The array contains 47,451 SNPs. Samples with a call rate less than 90 % were excluded. Additionally, SNPs with a call rate less than 95 %, with an exact test of ... See full document
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Dimensionality reduction of quality of life indicators
... The basic source of information for regional socio-economic analysis and defi nition of statistical indicators are statistics monitored by the Czech Statistical Offi ce, which is the main carrier of the vast extent of the ... See full document
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A comparison of internal model validation methods for multifactor dimensionality reduction in the case of genetic heterogeneity
... MDR is a widely used data mining technique that per- forms an exhaustive search of all possible genes and combinations of genes to find the best model for a cer- tain genetic trait [23]. It is able to accommodate more ... See full document
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The effect of alternative permutation testing strategies on the performance of multifactor dimensionality reduction
... Background: Multifactor Dimensionality Reduction (MDR) is a novel method developed to detect gene-gene interactions in case-control association analysis by exhaustively searching multi-locus ... See full document
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Software for detecting gene-gene interactions using Multifactor Dimensionality Reduction: Introducing the R package MDR
... Dimensionality Reduction (MDR). MDR is a nonparametric exhaustive search method that considers all combinations of potentially interacting loci [Ritchie, et al. 2001]. MDR traditionally creates a ... See full document
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Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis
... 7. Coffey CS, Hebert PR, Ritchie MD, Krumholz HM, Gaziano JM, Ridker PM, Brown NJ, Vaughan DE, Moore JH: An application of conditional logistic regression and multifactor dimensionality reduction for ... See full document
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Identification of interactions using model based multifactor dimensionality reduction
... For quality control, we use a stepwise routine. In every step, samples with a call rate of less than 97 % or deviation from mean heterozygosity of more than three SD are excluded. Likewise, SNPs with a call rate of less ... See full document
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Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes
... ginal implementation of this method can be extended to detect the interactions in other types of data when the explanatory variables are categorical variables and the outcome variable is ...the ... See full document
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Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction
... Multifactor Dimensionality Reduction (MDR) is a statistical paradigm for characterizing and detecting nonlinear complex gene-to-gene interactions (epistasis) possibly associated with susceptibility ... See full document
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Nonlinear dimensionality reduction in climate data
... The reduction of dimensionality of large multivariate data is a common task in many different branches of science. Its pur- pose is to reduce a theoretically infinite dimensional system (which, in measured ... See full document
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Dimensionality reduction in Bayesian estimation algorithms
... We first show that conventional Bayesian retrievals in 3- channel space can lead to nearly useless estimates owing to match failures and/or over-averaging. We then demonstrate a technique for reducing the ... See full document
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Comparative Analysis of Dimensionality Reduction Techniques
... instances. Dimensionality reduction (DR) is one of the preprocessing steps which is used to reduce the dimensions (attributes or features) without losing the ...of reduction they are feature ... See full document
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