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Characterizing genetic interactions in human disease association studies using statistical epistasis networks

Characterizing genetic interactions in human disease association studies using statistical epistasis networks

http://www.wikidata.org/entity/Q34017084

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A review of multivariate analyses in imaging genetics Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review Transdisciplinary approaches enhance the production of translational knowledge Genetic variants in Alzheimer disease - molecular and brain network approaches Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps Computational genetics analysis of grey matter density in Alzheimer's disease.Encore: Genetic Association Interaction Network centrality pipeline and application to SLE exome data.A fast and powerful W-test for pairwise epistasis testing Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases Integrative information theoretic network analysis for genome-wide association study of aspirin exacerbated respiratory disease in Korean population.Network biomarkers, interaction networks and dynamical network biomarkers in respiratory diseases.Missing heritability of common diseases and treatments outside the protein-coding exome.Pathway analysis of genomic data: concepts, methods, and prospects for future development.Interaction among apoptosis-associated sequence variants and joint effects on aggressive prostate cancer.HSD3B and gene-gene interactions in a pathway-based analysis of genetic susceptibility to bladder cancer.ViSEN: methodology and software for visualization of statistical epistasis networks.eQTL Epistasis - Challenges and Computational Approaches.EINVis: a visualization tool for analyzing and exploring genetic interactions in large-scale association studies.Genome-wide genetic interaction analysis of glaucoma using expert knowledge derived from human phenotype networks A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions.A system-level pathway-phenotype association analysis using synthetic feature random forest.Relevance Epistasis Network of Gastritis for Intra-chromosomes in the Korea Associated Resource (KARE) Cohort Study.Investigating the utility of clinical outcome-guided mutual information network in network-based Cox regression.Evaluating methods for modeling epistasis networks with application to head and neck cancer.Analysis of multiple association studies provides evidence of an expression QTL hub in gene-gene interaction network affecting HDL cholesterol levels.LEAP: biomarker inference through learning and evaluating association patterns Allele-specific network reveals combinatorial interaction that transcends small effects in psoriasis GWAS.Investigating the Role of Gene-Gene Interactions in TB Susceptibility.The role of visualization and 3-D printing in biological data mining.Learning Predictive Interactions Using Information Gain and Bayesian Network Scoring.CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions.Integrative regression network for genomic association study.Epistasis network centrality analysis yields pathway replication across two GWAS cohorts for bipolar disorder Integration of biological networks and pathways with genetic association studies.Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity.Pathway-based genetic analysis of preterm birth.Statistical epistasis networks reduce the computational complexity of searching three-locus genetic models.Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives Detecting gene-gene interactions using a permutation-based random forest method

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P2860

Characterizing genetic interactions in human disease association studies using statistical epistasis networks

http://www.wikidata.org/entity/Q34017084

description

2011 nî lūn-bûn

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2011 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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name

Characterizing genetic interac ...... statistical epistasis networks

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Characterizing genetic interac ...... statistical epistasis networks

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Characterizing genetic interac ...... statistical epistasis networks

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type

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Characterizing genetic interac ...... statistical epistasis networks

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Characterizing genetic interac ...... statistical epistasis networks

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Characterizing genetic interac ...... statistical epistasis networks

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Characterizing genetic interac ...... statistical epistasis networks

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Characterizing genetic interac ...... statistical epistasis networks

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Angeline S Andrew

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Jeff W Kiralis

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Margaret R Karagas

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Nicholas A Sinnott-Armstrong

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Ting Hu

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P2860

Initial sequencing and analysis of the human genome

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems

Network biology: understanding the cell's functional organization

Exploring complex networks

A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility

Computational solutions to large-scale data management and analysis

Lethality and centrality in protein networks

The large-scale organization of metabolic networks

Database resources of the National Center for Biotechnology Information

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