Identifying genetic interactions in genome-wide data using Bayesian networks.
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Learning genetic epistasis using Bayesian network scoring criteriaInferring Aberrant Signal Transduction Pathways in Ovarian Cancer from TCGA DataRevealing Biological Pathways Implicated in Lung Cancer from TCGA Gene Expression Data Using Gene Set Enrichment Analysis.An infinitesimal model for quantitative trait genomic value predictionNew Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data.Modeling the altered expression levels of genes on signaling pathways in tumors as causal bayesian networks.A bayesian method for evaluating and discovering disease loci associations.Systems biology data analysis methodology in pharmacogenomics.Performance analysis of novel methods for detecting epistasis.Integrating heterogeneous high-throughput data for meta-dimensional pharmacogenomics and disease-related studiesContributions of renin-angiotensin system-related gene interactions to obesity in a Chinese population.Identifying genetic interactions associated with late-onset Alzheimer's disease.Power and pitfalls of the genome-wide association study approach to identify genes for Alzheimer's disease.Evaluating de novo locus-disease discoveries in GWAS using the signal-to-noise ratio.Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.A gene-based information gain method for detecting gene-gene interactions in case-control studies.Risk estimation and risk prediction using machine-learning methods.Interaction of Wnt pathway related variants with type 2 diabetes in a Chinese Han population.Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network.ATHENA: the analysis tool for heritable and environmental network associations.A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversionVerification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining.epiACO - a method for identifying epistasis based on ant Colony optimization algorithmAssessment of genetic and nongenetic interactions for the prediction of depressive symptomatology: an analysis of the Wisconsin Longitudinal Study using machine learning algorithms.
P2860
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P2860
Identifying genetic interactions in genome-wide data using Bayesian networks.
description
2010 nî lūn-bûn
@nan
2010 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Identifying genetic interactions in genome-wide data using Bayesian networks.
@ast
Identifying genetic interactions in genome-wide data using Bayesian networks.
@en
type
label
Identifying genetic interactions in genome-wide data using Bayesian networks.
@ast
Identifying genetic interactions in genome-wide data using Bayesian networks.
@en
prefLabel
Identifying genetic interactions in genome-wide data using Bayesian networks.
@ast
Identifying genetic interactions in genome-wide data using Bayesian networks.
@en
P2860
P356
P1433
P1476
Identifying genetic interactions in genome-wide data using Bayesian networks.
@en
P2093
Shyam Visweswaran
P2860
P304
P356
10.1002/GEPI.20514
P577
2010-09-01T00:00:00Z