AIMC Topic: Models, Genetic

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The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.

Protein & cell Aug 9, 2016
Artificial neural networks (ANNs) are powerful computational tools that are designed to replicate the human brain and adopted to solve a variety of problems in many different fields. Fault tolerance (FT), an important property of ANNs, ensures their ...
Neural Networks, Computer Algorithms Models, Genetic Humans
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Clustering of soybean genotypes via Ward-MLM and ANNs associated with mixed models.

Genetics and molecular research : GMR Aug 5, 2016
The objectives of this study were to use mixed models to confirm the presence of genetic variability in 16 soybean genotypes, to compare clusters generated by artificial neural networks (ANNs) with those created by the Ward modified location model (M...
Neural Networks, Computer Genotype Models, Genetic Cluster Analysis Glycine max
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Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER).

Oncology reports Jul 21, 2016
In association studies, the combined effects of single nucleotide polymorphism (SNP)-SNP interactions and the problem of imbalanced data between cases and controls are frequently ignored. In the present study, we used an improved multifactor dimensio...
Epistasis, Genetic Breast Neoplasms Humans Multifactor Dimensionality Reduction Genetic Predisposition to Disease Algorithms Models, Genetic Female Chemokine CXCL12 Polymorphism, Single Nucleotide Receptors, CXCR4
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Gene expression prediction using low-rank matrix completion.

BMC bioinformatics Jun 17, 2016
BACKGROUND: An exponential growth of high-throughput biological information and data has occurred in the past decade, supported by technologies, such as microarrays and RNA-Seq. Most data generated using such methods are used to encode large amounts ...
Models, Genetic Humans Machine Learning Computer Simulation Transcriptome
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A knowledge-based approach for predicting gene-disease associations.

Bioinformatics (Oxford, England) Jun 9, 2016
MOTIVATION: Recent advances of next-generation sequence technologies have made it possible to rapidly and inexpensively identify gene variations. Knowing the disease association of these gene variations is important for early intervention to treat de...
Algorithms Gene Expression Profiling Genome-Wide Association Study Humans Regression Analysis Knowledge Bases Disease Gene Regulatory Networks Models, Genetic Databases, Genetic Protein Interaction Mapping Epistasis, Genetic
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A note on the weight of inverse complexity in improved hybrid genetic algorithm.

Journal of medical systems May 2, 2016
Models, Genetic Female Male Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Artificial intelligence in the selection of common bean genotypes with high phenotypic stability.

Genetics and molecular research : GMR Apr 28, 2016
Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions. The aim of this study was to use artificial neural networks in the selection of common bean g...
Selection, Genetic Phaseolus Plant Breeding Genotype Models, Genetic Edible Grain Neural Networks, Computer Phenotype
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An Improved Genetic Fuzzy Logic Control Method to Reduce the Enlargement of Coal Floor Deformation in Shearer Memory Cutting Process.

Computational intelligence and neuroscience Apr 27, 2016
In order to reduce the enlargement of coal floor deformation and the manual adjustment frequency of rocker arms, an improved approach through integration of improved genetic algorithm and fuzzy logic control (GFLC) method is proposed. The enlargement...
Safety Models, Genetic Disasters Algorithms Fuzzy Logic Models, Theoretical Computer Simulation Humans Predictive Value of Tests Public Health Neural Networks, Computer Coal
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A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition.

IEEE transactions on cybernetics Apr 21, 2016
This paper proposes a facial expression recognition system using evolutionary particle swarm optimization (PSO)-based feature optimization. The system first employs modified local binary patterns, which conduct horizontal and vertical neighborhood pi...
Humans Machine Learning Emotions Algorithms Databases, Factual Face Image Processing, Computer-Assisted Pattern Recognition, Automated Models, Genetic
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Identifying targets of selection in mosaic genomes with machine learning: applications in Anopheles gambiae for detecting sites within locally adapted chromosomal inversions.

Molecular ecology Apr 20, 2016
Chromosomal inversions are important structural changes that may facilitate divergent selection when they capture co-adaptive loci in the face of gene flow. However, identifying selection targets within inversions can be challenging. The high degrees...
Machine Learning Animals Ecosystem Anopheles Insect Vectors Chromosome Inversion Cameroon Models, Genetic Genome, Insect Polymorphism, Single Nucleotide Selection, Genetic Recombination, Genetic Adaptation, Physiological
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