Machine learning for detecting gene-gene interactions: a review. - Wikidata - wikimedia - TriplyDB

Machine learning for detecting gene-gene interactions: a review.

Machine learning for detecting gene-gene interactions: a review.

http://www.wikidata.org/entity/Q34530177

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Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems A survey about methods dedicated to epistasis detection Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.MicroRNAs control mRNA fate by compartmentalization based on 3' UTR length in male germ cells.Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.Evaporative cooling feature selection for genotypic data involving interactions Integrated analysis of genetic and proteomic data identifies biomarkers associated with adverse events following smallpox vaccination.A random forest approach to the detection of epistatic interactions in case-control studies.Capturing the spectrum of interaction effects in genetic association studies by simulated evaporative cooling network analysis Mechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemia Evaluation of random forests performance for genome-wide association studies in the presence of interaction effects.Neural networks for modeling gene-gene interactions in association studies A Markov blanket-based method for detecting causal SNPs in GWAS On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data Bioinformatics challenges for genome-wide association studies.FragViz: visualization of fragmented networks Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases Model-based multifactor dimensionality reduction for detecting epistasis in case-control data in the presence of noise.A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypes.Weighted risk score-based multifactor dimensionality reduction to detect gene-gene interactions in nasopharyngeal carcinoma Gene--environment-wide association studies: emerging approaches An exhaustive, non-euclidean, non-parametric data mining tool for unraveling the complexity of biological systems--novel insights into malaria.bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach.Microfluidic platform for real-time signaling analysis of multiple single T cells in parallel.Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study.iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies.Transcriptome classification reveals molecular subtypes in psoriasis GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures Importance measures for epistatic interactions in case-parent trios.Detecting gene-gene interactions that underlie human diseases.Random forests for genetic association studies.A Bayesian hierarchical gene model on latent genotypes for genome-wide association studies.Combining graph and machine learning methods to analyze differences in functional connectivity across sex.Naïve Bayesian Classifier and Genetic Risk Score for Genetic Risk Prediction of a Categorical Trait: Not so Different after all!Risk Classification with an Adaptive Naive Bayes Kernel Machine Model.Do little interactions get lost in dark random forests?Bayesian methods for multivariate modeling of pleiotropic SNP associations and genetic risk prediction.A penalized robust semiparametric approach for gene-environment interactions

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P2860

Machine learning for detecting gene-gene interactions: a review.

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2006 nî lūn-bûn

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2006 թուականի Յունուարին հրատարակուած գիտական յօդուած

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2006年の論文

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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Machine learning for detecting gene-gene interactions: a review.

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A comprehensive review of genetic association studies

Identification of significant association and gene-gene interaction of GABA receptor subunit genes in autism

Neural network analysis in pharmacogenetics of mood disorders

Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases

Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction model on childhood allergic asthma

An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene interactions on risk of myocardial infarction: the importance of model validation

Screening large-scale association study data: exploiting interactions using random forests

GPNN: power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Optimization by Simulated Annealing

Tree and spline based association analysis of gene-gene interaction models for ischemic stroke

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