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A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.

A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.

http://www.wikidata.org/entity/Q37283399

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A survey about methods dedicated to epistasis detection Integrating Genetic, Neuropsychological and Neuroimaging Data to Model Early-Onset Obsessive Compulsive Disorder Severity Pathway and network approaches for identification of cancer signature markers from omics data.Bayesian neural networks for detecting epistasis in genetic association studies A gene-based information gain method for detecting gene-gene interactions in case-control studies.KNN-MDR: a learning approach for improving interactions mapping performances in genome wide association studies.Statistical and Computational Methods for Genetic Diseases: An Overview Blood Gene Expression Profile Predicts Response to Antipsychotics.Real-time Protection of Genomic Data Sharing in Beacon Services.

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A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.

http://www.wikidata.org/entity/Q37283399

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 21 October 2013

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

A review for detecting gene-ge ...... thods in genetic epidemiology.

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A review for detecting gene-ge ...... thods in genetic epidemiology.

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type

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A review for detecting gene-ge ...... thods in genetic epidemiology.

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A review for detecting gene-ge ...... thods in genetic epidemiology.

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A review for detecting gene-ge ...... thods in genetic epidemiology.

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A review for detecting gene-ge ...... thods in genetic epidemiology.

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BioMed Research International

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A review for detecting gene-ge ...... thods in genetic epidemiology.

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Abdul Hakim Mohamed Salleh

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Ching Lee Koo

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Mei Jing Liew

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P2860

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

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

Machine learning approaches for the discovery of gene-gene interactions in disease data

GuiTope: an application for mapping random-sequence peptides to protein sequences

Detection of gene x gene interactions in genome-wide association studies of human population data.

Comparison of artificial neural network analysis with other multimarker methods for detecting genetic association

Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error.

A random forest approach to the detection of epistatic interactions in case-control studies.

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432375

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scholarly article

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10.1155/2013/432375

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2013

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Mohd Saberi Mohamad

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2013-10-21T00:00:00Z

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258524366

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machine learning

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