AIMC Topic: Multifactor Dimensionality Reduction

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Using neural networks for reducing the dimensions of single-cell RNA-Seq data.

Nucleic acids research Sep 29, 2017
While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include ...
Single-Cell Analysis Computational Biology Sequence Analysis, RNA Neural Networks, Computer Software Gene Expression Profiling Datasets as Topic Gene Expression Regulation Protein Interaction Mapping Multifactor Dimensionality Reduction Databases, Genetic Cluster Analysis RNA Humans
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CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.

Bioinformatics (Oxford, England) Aug 1, 2017
MOTIVATION: Detecting epistatic interactions in genome-wide association studies (GWAS) is a computational challenge. Such huge numbers of single-nucleotide polymorphism (SNP) combinations limit the some of the powerful algorithms to be applied to det...
Humans Algorithms Genome-Wide Association Study Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide Epistasis, Genetic
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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems Jul 25, 2017
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...
Humans Sequence Analysis, RNA Support Vector Machine Datasets as Topic MicroRNAs RNA Precursors Least-Squares Analysis Multifactor Dimensionality Reduction Benchmarking
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A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions.

Bioinformatics (Oxford, England) Sep 1, 2016
MOTIVATION: Gene-gene interaction (GGI) is one of the most popular approaches for finding and explaining the missing heritability of common complex traits in genome-wide association studies. The multifactor dimensionality reduction (MDR) method has b...
Humans Computer Simulation Genome-Wide Association Study Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide Models, Genetic Epistasis, Genetic
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Generalized Multifactor Dimensionality Reduction (GMDR) Analysis of Drug-Metabolizing Enzyme-Encoding Gene Polymorphisms may Predict Treatment Outcomes in Indian Breast Cancer Patients.

World journal of surgery Jul 1, 2016
BACKGROUND: Prediction of response and toxicity of chemotherapy can help personalize the treatment and choose effective yet non-toxic treatment regimen for a breast cancer patient. Interplay of variations in various drug-metabolizing enzyme (DME)-enc...
ATP Binding Cassette Transporter, Subfamily B Cytochrome P-450 CYP2C19 Multifactor Dimensionality Reduction Breast Neoplasms Middle Aged Polymorphism, Single Nucleotide Genotype Logistic Models Chemotherapy, Adjuvant Female Aged Adult Humans
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[Detecting gene-gene/environment interactions by model-based multifactor dimensionality reduction].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Nov 1, 2015
This paper introduces a method called model-based multifactor dimensionality reduction (MB-MDR), which was firstly proposed by Calle et al., and can be applied for detecting gene-gene or gene-environment interactions in genetic studies. The basic pri...
Multifactor Dimensionality Reduction Gene-Environment Interaction Genotype Models, Genetic Phenotype
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Feature selection using feature dissimilarity measure and density-based clustering: application to biological data.

Journal of biosciences Oct 1, 2015
Reduction of dimensionality has emerged as a routine process in modelling complex biological systems. A large number of feature selection techniques have been reported in the literature to improve model performance in terms of accuracy and speed. In ...
Arrhythmias, Cardiac Multigene Family Humans Datasets as Topic Algorithms Oligonucleotide Array Sequence Analysis Multifactor Dimensionality Reduction Cluster Analysis Neoplasms Parkinson Disease Gene Expression Profiling Gene Expression Computational Biology
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Preface.

Journal of biosciences Oct 1, 2015
Humans Pattern Recognition, Automated Machine Learning Gene Expression Regulation Plants Microarray Analysis Gene Regulatory Networks Data Mining High-Throughput Nucleotide Sequencing Computational Biology Multifactor Dimensionality Reduction Signal Transduction
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Mining nutrigenetics patterns related to obesity: use of parallel multifactor dimensionality reduction.

International journal of bioinformatics research and applications Jan 1, 2015
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic factors associated with obesity were recorded for around two thousand individuals. In our previous ...
Nutritional Physiological Phenomena Young Adult Middle Aged Adult Data Mining Humans Polymorphism, Single Nucleotide Male Female Nutrigenomics Obesity Multifactor Dimensionality Reduction Aged
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Epistasis analysis using multifactor dimensionality reduction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Here we introduce the multifactor dimensionality reduction (MDR) methodology and software package for detecting and characterizing epistasis in genetic association studies. We provide a general overview of the method and then highlight some of the ke...
Genome-Wide Association Study Genotype Urinary Bladder Neoplasms Humans Case-Control Studies Statistics as Topic Multifactor Dimensionality Reduction Stochastic Processes Quantitative Trait, Heritable Epistasis, Genetic
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