AIMC Topic: Models, Genetic

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SVM2Motif--Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor.

PloS one Dec 21, 2015
Identifying discriminative motifs underlying the functionality and evolution of organisms is a major challenge in computational biology. Machine learning approaches such as support vector machines (SVMs) achieve state-of-the-art performances in genom...
Models, Genetic Humans Sequence Analysis, DNA Machine Learning Nucleotide Motifs
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Evolutionary multiobjective design of a flexible caudal fin for robotic fish.

Bioinspiration & biomimetics Nov 25, 2015
Robotic fish accomplish swimming by deforming their bodies or other fin-like appendages. As an emerging class of embedded computing system, robotic fish are anticipated to play an important role in environmental monitoring, inspection of underwater s...
Models, Biological Ships Fishes Robotics Equipment Design Feedback, Physiological Elastic Modulus Animal Fins Biomimetics Swimming Equipment Failure Analysis Animals Computer Simulation Computer-Aided Design Models, Genetic
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The transfer and transformation of collective network information in gene-matched networks.

Scientific reports Oct 9, 2015
Networks, such as the human society network, social and professional networks, and biological system networks, contain vast amounts of information. Information signals in networks are distributed over nodes and transmitted through intricately wired l...
Humans Neural Networks, Computer Neurons Nerve Net Models, Genetic Signal Transduction Models, Neurological Algorithms Gene Regulatory Networks
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Prioritizing Clinically Relevant Copy Number Variation from Genetic Interactions and Gene Function Data.

PloS one Oct 5, 2015
It is becoming increasingly necessary to develop computerized methods for identifying the few disease-causing variants from hundreds discovered in each individual patient. This problem is especially relevant for Copy Number Variants (CNVs), which can...
Developmental Disabilities Humans Gene Ontology Genetic Association Studies Gene Regulatory Networks Congenital Abnormalities Mutation Models, Genetic Genetic Predisposition to Disease Gene Dosage Genetic Variation Causality Oligonucleotide Array Sequence Analysis Genetic Diseases, Inborn
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Genetic Learning Particle Swarm Optimization.

IEEE transactions on cybernetics Sep 17, 2015
Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This observation recently leads to hybridizing PSO with GA for performance e...
Genetics, Behavioral Artificial Intelligence Algorithms Computer Simulation Animals Models, Genetic Bees
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Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithm.

BMC medical genomics Sep 10, 2015
BACKGROUND: Metastatic neuroblastoma (NB) occurs in pediatric patients as stage 4S or stage 4 and it is characterized by heterogeneous clinical behavior associated with diverse genotypes. Tumors of stage 4 contain several structural copy number aberr...
Machine Learning Algorithms Models, Genetic Humans Genomic Instability Cell Transformation, Neoplastic Neoplasm Metastasis Neuroblastoma
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Practical Guidelines for Incorporating Knowledge-Based and Data-Driven Strategies into the Inference of Gene Regulatory Networks.

IEEE/ACM transactions on computational biology and bioinformatics Aug 20, 2015
Modeling gene regulatory networks (GRNs) is essential for conceptualizing how genes are expressed and how they influence each other. Typically, a reverse engineering approach is employed; this strategy is effective in reproducing possible fitting mod...
Computational Biology Models, Genetic Knowledge Bases Algorithms Saccharomyces cerevisiae Gene Regulatory Networks
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Superiority of artificial neural networks for a genetic classification procedure.

Genetics and molecular research : GMR Aug 19, 2015
The correct classification of individuals is extremely important for the preservation of genetic variability and for maximization of yield in breeding programs using phenotypic traits and genetic markers. The Fisher and Anderson discriminant function...
Humans Neural Networks, Computer Breeding Models, Genetic Discriminant Analysis Artificial Intelligence Plants Genotype
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Prediction of core cancer genes using a hybrid of feature selection and machine learning methods.

Genetics and molecular research : GMR Aug 3, 2015
Machine learning techniques are of great importance in the analysis of microarray expression data, and provide a systematic and promising way to predict core cancer genes. In this study, a hybrid strategy was introduced based on machine learning tech...
Genetic Testing Microarray Analysis Statistics as Topic Databases, Genetic Predictive Value of Tests Humans Machine Learning Algorithms Neoplasms Models, Genetic
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Model-Based Multifactor Dimensionality Reduction for Rare Variant Association Analysis.

Human heredity Jul 28, 2015
Genome-wide association studies have revealed a vast amount of common loci associated to human complex diseases. Still, a large proportion of heritability remains unexplained. The extent to which rare genetic variants (RVs) are able to explain a rele...
Humans Chromosomes, Human, Pair 4 Genome-Wide Association Study Genetic Variation Models, Genetic Multifactor Dimensionality Reduction
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