AIMC Topic: Models, Genetic

Clear Filters Showing 191 to 200 of 345 articles

Cotton genotypes selection through artificial neural networks.

Genetics and molecular research : GMR Sep 27, 2017
Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar's development. Differently from these analyses, the computational intelligence approach has been little explore...
Cotton Fiber Gossypium Quantitative Trait, Heritable Plant Breeding Selective Breeding Genotype Models, Genetic Selection, Genetic Neural Networks, Computer
View on PubMed DOI

Artificial intelligence in peer review: How can evolutionary computation support journal editors?

PloS one Sep 20, 2017
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce edi...
Algorithms Models, Genetic Publishing Humans Evolution, Molecular Computer Simulation Quality Control Artificial Intelligence Peer Review, Research Editorial Policies
View on PubMed DOI

Gene2DisCo: Gene to disease using disease commonalities.

Artificial intelligence in medicine Sep 4, 2017
OBJECTIVE: Finding the human genes co-causing complex diseases, also known as "disease-genes", is one of the emerging and challenging tasks in biomedicine. This process, termed gene prioritization (GP), is characterized by a scarcity of known disease...
Gene Regulatory Networks Genetic Predisposition to Disease Models, Genetic Machine Learning Algorithms ROC Curve Data Mining Linear Models Toxicogenetics Databases, Genetic Area Under Curve Genetic Markers Humans
View on PubMed DOI

CytoCluster: A Cytoscape Plugin for Cluster Analysis and Visualization of Biological Networks.

International journal of molecular sciences Aug 31, 2017
Nowadays, cluster analysis of biological networks has become one of the most important approaches to identifying functional modules as well as predicting protein complexes and network biomarkers. Furthermore, the visualization of clustering results i...
Gene Ontology Models, Genetic Cluster Analysis Software Algorithms
View on PubMed DOI

The R-package GenomicTools for multifactor dimensionality reduction and the analysis of (exploratory) Quantitative Trait Loci.

Computer methods and programs in biomedicine Aug 30, 2017
BACKGROUND AND OBJECTIVES: We introduce the R-package GenomicTools to perform, among others, a Multifactor Dimensionality Reduction (MDR) for the identification of SNP-SNP interactions. The package further provides a new class of tests for an (explor...
Computational Biology Models, Genetic Quantitative Trait Loci Multifactor Dimensionality Reduction Algorithms Software Genomics Polymorphism, Single Nucleotide
View on PubMed DOI

EMQIT: a machine learning approach for energy based PWM matrix quality improvement.

Biology direct Aug 1, 2017
BACKGROUND: Transcription factor binding affinities to DNA play a key role for the gene regulation. Learning the specificity of the mechanisms of binding TFs to DNA is important both to experimentalists and theoreticians. With the development of high...
Gene Expression Regulation Binding Sites Position-Specific Scoring Matrices ROC Curve Computational Biology Models, Genetic Transcription Factors Models, Molecular Datasets as Topic Machine Learning Software
View on PubMed DOI

Selection plays the hand it was dealt: evidence that human adaptation commonly targets standing genetic variation.

Genome biology Aug 1, 2017
Using a powerful machine learning approach, a recent study of human genomes has revealed widespread footprints of recent positive selection on standing genetic variation.
Humans Machine Learning Models, Genetic Selection, Genetic Linkage Disequilibrium Biological Evolution Sequence Analysis, DNA Genetic Variation Genome, Human Adaptation, Biological Genetics, Population
View on PubMed DOI

Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.

Interdisciplinary sciences, computational life sciences Jul 26, 2017
BACKGROUND: The identification of genetic regulatory networks (GRNs) provides insights into complex cellular processes. A class of recurrent neural networks (RNNs) captures the dynamics of GRN. Algorithms combining the RNN and machine learning scheme...
Gene Regulatory Networks Models, Genetic Escherichia coli Databases, Genetic Area Under Curve Neural Networks, Computer Saccharomyces cerevisiae Cell Cycle Algorithms SOS Response, Genetics Computer Simulation
View on PubMed DOI

Artificial neural networks as auxiliary tools for the improvement of bean plant architecture.

Genetics and molecular research : GMR Jun 29, 2017
Classification using a scale of visual notes is a strategy used to select erect bean plants in order to improve bean plant architectures. Use of morphological traits associated with the phenotypic expression of bean architecture in classification pro...
Quantitative Trait, Heritable Plant Breeding Hypocotyl Neural Networks, Computer Phenotype Models, Genetic Glycine max
View on PubMed DOI

Recurrent neural network-based modeling of gene regulatory network using elephant swarm water search algorithm.

Journal of bioinformatics and computational biology Jun 13, 2017
Correct inference of genetic regulations inside a cell from the biological database like time series microarray data is one of the greatest challenges in post genomic era for biologists and researchers. Recurrent Neural Network (RNN) is one of the mo...
Escherichia coli Proteins Gene Expression Regulation, Bacterial Computational Biology Models, Genetic Neural Networks, Computer Escherichia coli Algorithms Gene Regulatory Networks
View on PubMed DOI
Popular Topics
Recent Journals