AIMC Topic: Multifactor Dimensionality Reduction

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Interaction between maintenance variables of medical ultrasound scanners through multifactor dimensionality reduction.

Expert review of medical devices Aug 7, 2023
BACKGROUND: Proper maintenance of electro-medical devices is crucial for the quality of care to patients and the economic performance of healthcare organizations. This research aims to identify the interaction between Ultrasound scanners (US) mainten...
Reproducibility of Results Ultrasonography Models, Genetic Multifactor Dimensionality Reduction Humans
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Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes.

BMC bioinformatics Oct 4, 2021
BACKGROUND: Identifying interaction effects between genes is one of the main tasks of genome-wide association studies aiming to shed light on the biological mechanisms underlying complex diseases. Multifactor dimensionality reduction (MDR) is a popul...
Computer Simulation Genome-Wide Association Study Polymorphism, Single Nucleotide Models, Genetic Algorithms Phenotype Epistasis, Genetic Multifactor Dimensionality Reduction
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Designing a hybrid dimension reduction for improving the performance of Amharic news document classification.

PloS one May 21, 2021
The volume of Amharic digital documents has grown rapidly in recent years. As a result, automatic document categorization is highly essential. In this paper, we present a novel dimension reduction approach for improving classification accuracy by com...
Information Technology Support Vector Machine Ethiopia Principal Component Analysis Linguistics Humans Multifactor Dimensionality Reduction Language Data Mining Datasets as Topic
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A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data.

Nature biomedical engineering Nov 2, 2020
Dimensionality reduction is widely used in the visualization, compression, exploration and classification of data. Yet a generally applicable solution remains unavailable. Here, we report an accurate and broadly applicable data-driven algorithm for d...
Tomography, X-Ray Computed Biomedical Research Single-Cell Analysis Sequence Analysis, RNA Humans Algorithms Multifactor Dimensionality Reduction Electroencephalography Datasets as Topic Protein Biosynthesis
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Exploring gene-gene interaction in family-based data with an unsupervised machine learning method: EPISFA.

Genetic epidemiology Sep 1, 2020
Gene-gene interaction (G × G) is thought to fill the gap between the estimated heritability of complex diseases and the limited genetic proportion explained by identified single-nucleotide polymorphisms. The current tools for exploring G × G were oft...
Factor Analysis, Statistical Family Epistasis, Genetic Linkage Disequilibrium Models, Genetic Unsupervised Machine Learning Ischemic Stroke Multifactor Dimensionality Reduction Algorithms Case-Control Studies Humans
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cnnAlpha: Protein disordered regions prediction by reduced amino acid alphabets and convolutional neural networks.

Proteins Aug 7, 2020
Intrinsically disordered regions (IDR) play an important role in key biological processes and are closely related to human diseases. IDRs have great potential to serve as targets for drug discovery, most notably in disordered binding regions. Accurat...
Datasets as Topic Intrinsically Disordered Proteins Sequence Analysis, Protein Neural Networks, Computer Multifactor Dimensionality Reduction Machine Learning Humans ROC Curve Computational Biology Area Under Curve Benchmarking Amino Acid Sequence Data Mining
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Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction.

Nature communications Mar 26, 2020
The diversity in our genome is crucial to understanding the demographic history of worldwide populations. However, we have yet to know whether subtle genetic differences within a population can be disentangled, or whether they have an impact on compl...
Base Sequence Multifactor Dimensionality Reduction Multifactorial Inheritance Humans Genetics, Population Biological Specimen Banks Phenotype Principal Component Analysis Risk Factors Japan Asian People Genetic Predisposition to Disease
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ERAP1 polymorphisms interactions and their association with Behçet's disease susceptibly: Application of Model-Based Multifactor Dimension Reduction Algorithm (MB-MDR).

PloS one Feb 5, 2020
BACKGROUND: Behçet's disease (BD) is a chronic multi-systemic vasculitis with a considerable prevalence in Asian countries. There are many genes associated with a higher risk of developing BD, one of which is endoplasmic reticulum aminopeptidase-1 (E...
Models, Genetic Iran Gene Frequency Genetic Predisposition to Disease Behcet Syndrome Polymorphism, Single Nucleotide Algorithms Entropy Genetic Association Studies Gene Regulatory Networks Humans Adult Multifactor Dimensionality Reduction Female Aminopeptidases Male Minor Histocompatibility Antigens
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DualWMDR: Detecting epistatic interaction with dual screening and multifactor dimensionality reduction.

Human mutation Nov 25, 2019
Detecting epistatic interaction is a typical way of identifying the genetic susceptibility of complex diseases. Multifactor dimensionality reduction (MDR) is a decent solution for epistasis detection. Existing MDR-based methods still suffer from high...
Models, Genetic Humans Epistasis, Genetic Databases, Genetic Algorithms Genetic Predisposition to Disease Genetic Loci Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide Macular Degeneration Computational Biology
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An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis.

Artificial intelligence in medicine Nov 22, 2019
OBJECTIVE: Epistasis identification is critical for determining susceptibility to human genetic diseases. The rapid development of technology has enabled scalability to make multifactor dimensionality reduction (MDR) measurements an effective calcula...
Fuzzy Logic Case-Control Studies Humans Drug Resistance, Multiple Epistasis, Genetic Genotype Artificial Intelligence Drug Resistance Multifactor Dimensionality Reduction Models, Genetic Algorithms
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