AIMC Topic: Multifactor Dimensionality Reduction
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Machine learning techniques for protein function prediction.
Proteins
Nov 14, 2019
Proteins play important roles in living organisms, and their function is directly linked with their structure. Due to the growing gap between the number of proteins being discovered and their functional characterization (in particular as a result of ...
Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes.
BioMed research international
Jul 11, 2019
To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism, deleterious phenotypes are unlikely due to the effects of single genes, but rather, gene-gene interactions (GGIs), which are widely analyzed by multi...
Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.
Genetic epidemiology
Nov 2, 2018
The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, and the identification of multifactor interactions is an important but challenging undertaking for genetic studies. Many complex phenotypes such as dise...
PBMDR: A particle swarm optimization-based multifactor dimensionality reduction for the detection of multilocus interactions.
Journal of theoretical biology
Oct 5, 2018
Studies on multilocus interactions have mainly investigated the associations between genetic variations from the related genes and histopathological tumor characteristics in patients. However, currently, the identification and characterization of sus...
Class Balanced Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions.
IEEE/ACM transactions on computational biology and bioinformatics
Jul 23, 2018
Detecting gene-gene interactions in single-nucleotide polymorphism data is vital for understanding disease susceptibility. However, existing approaches may be limited by the sample size in case-control studies. Herein, we propose a balance approach f...
Machine learning algorithm-based risk prediction model of coronary artery disease.
Molecular biology reports
Jul 11, 2018
In view of high mortality associated with coronary artery disease (CAD), development of an early predicting tool will be beneficial in reducing the burden of the disease. The database comprising demographic, conventional, folate/xenobiotic genetic ri...
Glycine Hydroxymethyltransferase
Coronary Artery Disease
Multifactor Dimensionality Reduction
Aged
Folic Acid
Xenobiotics
Adult
Epistasis, Genetic
Cytochrome P-450 CYP1A1
Male
Genetic Predisposition to Disease
Polymorphism, Single Nucleotide
Forecasting
Humans
Female
Machine Learning
Middle Aged
Risk Factors
Algorithms
Case-Control Studies
A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.
Genetic epidemiology
Apr 22, 2018
Genome-wide association studies (GWAS) have become a very effective research tool to identify genetic variants of underlying various complex diseases. In spite of the success of GWAS in identifying thousands of reproducible associations between genet...
Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions.
BMC medical genomics
Apr 20, 2018
BACKGROUND: Gene-gene interactions (GGIs) are a known cause of missing heritability. Multifactor dimensionality reduction (MDR) is one of most commonly used methods for GGI detection. The generalized multifactor dimensionality reduction (GMDR) method...
Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions.
Scientific reports
Oct 9, 2017
Epistasis within disease-related genes (gene-gene interactions) was determined through contingency table measures based on multifactor dimensionality reduction (MDR) using single-nucleotide polymorphisms (SNPs). Most MDR-based methods use the single ...
The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci.
Computer methods and programs in biomedicine
Aug 30, 2017
BACKGROUND AND OBJECTIVES: We introduce the R-package GenomicTools to perform, among others, a Multifactor Dimensionality Reduction (MDR) for the identification of SNP-SNP interactions. The package further provides a new class of tests for an (explor...
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