"The effect of reduction in cross-validation intervals on the performance of multifactor dimensionality reduction". Genetic ... Multifactor dimensionality reduction (MDR) is a statistical approach, also used in machine learning automatic approaches, for ... Hahn, L. W.; Ritchie, M. D.; Moore, J. H. (12 February 2003). "Multifactor dimensionality reduction software for detecting gene ... Ritchie, Marylyn D.; Hahn, Lance W.; Moore, Jason H. (1 February 2003). "Power of multifactor dimensionality reduction for ...

Multifactor-dimensionality reduction reveals interaction of important gene variants involved in allergy R M de Guia 1 2 3 , M D ... Multifactor-dimensionality reduction reveals interaction of important gene variants involved in allergy R M de Guia et al. Int ... Gene-gene interaction was analysed using multifactor-dimensionality reduction (MDR). Significant association between atopic ...

For example, the reduction of the multifactor dimensionality is one of the algorithmic approaches proposed as data analysis but ... personalized risk prediction and response to preventive intervention for dramatic cancer-incidence reduction. However, there ...

Home Exome pubmed: wnt1 Multifactor dimensionality reduction method identifies novel SNP interactions in the WNT protein ... Multifactor dimensionality reduction method identifies novel SNP interactions in the WNT protein interaction networks that are ...

We applied the multi-factor dimensionality reduction (MDR) method to a large cohort study on gene-environment and gene-gene ... We applied the multi-factor dimensionality reduction (MDR) method to a large cohort study on gene-environment and gene-gene ... Multi-factor dimensionality reduction applied to a large prospective investigation on gene-gene and gene-environment ... Multi-factor dimensionality reduction applied to a large prospective investigation on gene-gene and gene-environment ...

It reduces dimensionality by using as its main unit of inferenc... ... MDR (Multifactor Dimensionality Reduction). 2010. Homepage of the Multifactor Dimensionality Reduction Open-Source Software ... Multifactor dimensionality reduction shows a two-locus interaction associated with type 2 diabetes mellitus. Diabetologia 47: ... Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinformatics 19:376- ...

A widely used combinatorial partitioning method is the multifactor dimensionality reduction method (MDR).. top. Semantic ... We describe a method that enables dimensionality reduction of the data and computationally tractable comparisons of evoked ... Using Predictive Methods in Conjunction with Risk-Based Insulin Reduction for Glycemic Control in Type 1 Diabetes. Authors:. ... Using Predictive Methods in Conjunction with Risk-Based Insulin Reduction for Glycemic Control in T1 Diabetes - Hughes, UVA ...

Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer ... Although analytic techniques such as multi-factor dimensionality reduction (41) are being suggested as possible enhancements in ...

Multifactor Dimensionality Reduction; Neoplasm Staging; Polymorphism, Single Nucleotide; Prostatic Neoplasms/genetics*; ... European-American men were analyzed using statistical epistasis networks coupled with multi-factor dimensionality reduction ( ...

Multifactor dimensionality reduction reveals the effect of interaction between ERAP1 and IFIH1 polymorphisms in psoriasis ...

Interaction of thrombophilic SNPs in patients with unexplained infertility-multifactor dimensionality reduction (MDR) model ...

Multifactor dimensionality reduction-phenomics: a novel method to capture genetic heterogeneity with use of phenotypic ...

S. Yeoun Lee, Y. Chung, R. C. Elston, Y. Kim, and T. Park, "Log-linear model-based multifactor dimensionality reduction method ... Y. Chung, S. Y. Lee, R. C. Elston, and T. Park, "Odds ratio based multifactor-dimensionality reduction method for detecting ... One of the most popular methods is multifactor dimensionality reduction (MDR) [2] that converts a high-dimensional contingency ... M. D. Ritchie, L. W. Hahn, N. Roodi et al., "Multifactor-dimensionality reduction reveals high-order interactions among ...

Generalized Multifactor Dimensionality Reduction (GMDR) method was used to explore interactions among these factors with ... GG genotype had the largest reduction in gestational age (-0.36 weeks, 95%CI: -0.70 to -0.02). The significant reductions in ...

We used multifactor dimensionality reduction (MDR) and multiplicative logistic regression adjusting for sex, age, ... reductions in HOMA-IR were observed in both CR groups. Gene expressions of adiponectin and PPARγ in adipose tissues were found ...

Some of her methods include Multifactor Dimensionality Reduction (MDR), the Analysis Tool for Heritable and Environmental ...

Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer ...

Multifactor-dimensionality reduction reveals interaction of important gene variants involved in allergy. International journal ...

... and the multifactor dimensionality reduction method. The objective of our study was to apply these four multi-locus methods to ...

Multifactor Dimensionality Reduction - Preferred Concept UI. M0540422. Scope note. A statistical tool for detecting and ...

Multifactor Dimensionality Reduction Preferred Term Term UI T760060. Date10/29/2009. LexicalTag NON. ThesaurusID NLM (2011). ... Multifactor Dimensionality Reduction Preferred Concept UI. M0540422. Scope Note. A statistical tool for detecting and modeling ... Multifactor Dimensionality Reduction. Tree Number(s). L01.313.500.750.280.199.500. L01.470.625.500. Unique ID. D058011. RDF ...

Maize Epistasis Detection by Multi-class Quantitative Multifactor Dimensionality Reduction. BIBM 2021: 314-319. ...

Model-based multifactor dimensionality reduction for detecting epistasis A new MDR paper.. Cattaert T, Calle ML, Dudek SM, ... Model-Based Multifactor Dimensionality Reduction (MB-MDR), a relatively new MDR-based technique that is able to unify the best ... Several data-mining methods have been proposed for interaction analysis, among them, the Multifactor Dimensionality Reduction ... These results were compared to those from multifactor dimensionality reduction, which identified different single nucleotide ...

A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction. You might also like... Compiler ... Reward is the reduction in instruction count achieved scaled to the reduction achieved by LLVMs builtin -Oz. pipeline. ... The goal of the agent is to select the sequence of optimizations that lead to the greatest reduction in instruction count in ...

Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population ...

The multifactor dimensionality reduction (MDR) method was conducted to analyze SNP-SNP interaction. Our results revealed that ... In addition, we used multifactor dimensionality reduction (MDR, version 3.0.2) to evaluate the impact of SNP - SNP interaction ... The multifactor dimensionality reduction (MDR) method was conducted to analyze SNP-SNP interaction. ...

Multifactor dimensionality reduction (MDR) is an brute-force method for identifying the most plausible interactions which fit ... Ritchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, Moore JH: Multifactor-dimensionality reduction reveals high-order ... A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genet ...

multifactor dimensionality reduction (0). *multispectral pattern recognition (0). *nearest centroid classifier (0) ...