AIMC Topic: Models, Genetic

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Neural model of gene regulatory network: a survey on supportive meta-heuristics.

Theory in biosciences = Theorie in den Biowissenschaften Apr 5, 2016
Gene regulatory network (GRN) is produced as a result of regulatory interactions between different genes through their coded proteins in cellular context. Having immense importance in disease detection and drug finding, GRN has been modelled through ...
Algorithms Computer Simulation Animals Humans Neural Networks, Computer Models, Genetic Models, Theoretical Heuristics Gene Regulatory Networks Computational Biology
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Evaluation of the efficiency of artificial neural networks for genetic value prediction.

Genetics and molecular research : GMR Mar 28, 2016
Artificial neural networks have shown great potential when applied to breeding programs. In this study, we propose the use of artificial neural networks as a viable alternative to conventional prediction methods. We conduct a thorough evaluation of t...
Breeding Selection, Genetic Genetic Fitness Genotype Models, Genetic Phenotype Animals Neural Networks, Computer
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Deep Learning for Population Genetic Inference.

PLoS computational biology Mar 28, 2016
Given genomic variation data from multiple individuals, computing the likelihood of complex population genetic models is often infeasible. To circumvent this problem, we introduce a novel likelihood-free inference framework by applying deep learning,...
Genetics, Population Machine Learning Animals Models, Genetic Drosophila melanogaster Genomics
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A new approach to the automatic identification of organism evolution using neural networks.

Bio Systems Mar 11, 2016
Automatic identification of organism evolution still remains a challenging task, which is especially exiting, when the evolution of human is considered. The main aim of this work is to present a new idea to allow organism evolution analysis using neu...
Neural Networks, Computer Reproducibility of Results Animals Humans Models, Genetic Evolution, Molecular Cytochromes b Phylogeny Computational Biology
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Genome-enabled prediction using probabilistic neural network classifiers.

BMC genomics Mar 9, 2016
BACKGROUND: Multi-layer perceptron (MLP) and radial basis function neural networks (RBFNN) have been shown to be effective in genome-enabled prediction. Here, we evaluated and compared the classification performance of an MLP classifier versus that o...
Models, Genetic Area Under Curve Triticum ROC Curve Neural Networks, Computer Genomics Zea mays Gene-Environment Interaction Phenotype Polymorphism, Single Nucleotide
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Improving Protein Expression Prediction Using Extra Features and Ensemble Averaging.

PloS one Mar 2, 2016
The article focus is the improvement of machine learning models capable of predicting protein expression levels based on their codon encoding. Support vector regression (SVR) and partial least squares (PLS) were used to create the models. SVR yields ...
Base Sequence Proteomics Models, Genetic Codon Gene Expression Support Vector Machine Least-Squares Analysis Escherichia coli Escherichia coli Proteins
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Inference and Analysis of Population Structure Using Genetic Data and Network Theory.

Genetics Feb 17, 2016
Clustering individuals to subpopulations based on genetic data has become commonplace in many genetic studies. Inference about population structure is most often done by applying model-based approaches, aided by visualization using distance-based app...
Models, Genetic Cluster Analysis Humans Neural Networks, Computer Algorithms Genetics, Population
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Sparse Inverse Covariance Estimation with L0 Penalty for Network Construction with Omics Data.

Journal of computational biology : a journal of computational molecular cell biology Feb 1, 2016
Constructing coexpression and association networks with omics data is crucial for studying gene-gene interactions and underlying biological mechanisms. In recent years, learning the structure of a Gaussian graphical model from high-dimensional data u...
Humans Machine Learning Signal-To-Noise Ratio Epistasis, Genetic Models, Genetic Animals Sequence Analysis, DNA Genomics Haplotypes
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Neuro-genetic system for optimization of GMI samples sensitivity.

Neural networks : the official journal of the International Neural Network Society Dec 29, 2015
Magnetic sensors are largely used in several engineering areas. Among them, magnetic sensors based on the Giant Magnetoimpedance (GMI) effect are a new family of magnetic sensing devices that have a huge potential for applications involving measureme...
Magnetometry Magnetic Phenomena Electric Impedance Algorithms Models, Genetic Neural Networks, Computer
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Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.

Computational intelligence and neuroscience Dec 24, 2015
A researcher can infer mathematical expressions of functions quickly by using his professional knowledge (called Prior Knowledge). But the results he finds may be biased and restricted to his research field due to limitation of his knowledge. In cont...
Regression Analysis Algorithms Humans Models, Genetic Nonlinear Dynamics Artificial Intelligence Models, Theoretical
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