Related references
Note: Only part of the references are listed.Natural Yeast Promoter Variants Reveal Epistasis in the Generation of Transcriptional-Mediated Noise and Its Potential Benefit in Stressful Conditions
Jian Liu et al.
GENOME BIOLOGY AND EVOLUTION (2015)
Epistasis amongst PTPN2 and genes of the vitamin D pathway contributes to risk of juvenile idiopathic arthritis
Justine A. Ellis et al.
JOURNAL OF STEROID BIOCHEMISTRY AND MOLECULAR BIOLOGY (2015)
Higher-order genetic interactions and their contribution to complex traits
Matthew B. Taylor et al.
TRENDS IN GENETICS (2015)
Investigation of gene effects and epistatic interactions between Akt1 and neuregulin 1 in the regulation of behavioral phenotypes and social functions in genetic mouse models of schizophrenia
Ching-Hsun Huang et al.
FRONTIERS IN BEHAVIORAL NEUROSCIENCE (2015)
MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies
Peng-Jie Jing et al.
BIOINFORMATICS (2015)
Heuristic Identification of Biological Architectures for Simulating Complex Hierarchical Genetic Interactions
Jason H. Moore et al.
GENETIC EPIDEMIOLOGY (2015)
Hybrid Breakdown Caused by Epistasis-Based Recessive Incompatibility in a Cross of Rice (Oryza sativa L.)
Kazuki Matsubara et al.
JOURNAL OF HEREDITY (2015)
The BioGRID interaction database: 2015 update
Andrew Chatr-aryamontri et al.
NUCLEIC ACIDS RESEARCH (2015)
Stability SCAD: a powerful approach to detect interactions in large-scale genomic study
Jianwei Gou et al.
BMC BIOINFORMATICS (2014)
Bayesian neural networks for detecting epistasis in genetic association studies
Andrew L. Beam et al.
BMC BIOINFORMATICS (2014)
GWGGI: software for genome-wide gene-gene interaction analysis
Changshuai Wei et al.
BMC GENETICS (2014)
Polygenic Type 2 Diabetes Prediction at the Limit of Common Variant Detection
Jason L. Vassy et al.
DIABETES (2014)
Epistasis and quantitative traits: using model organisms to study gene-gene interactions
Trudy F. C. Mackay
NATURE REVIEWS GENETICS (2014)
The Reactome pathway knowledgebase
David Croft et al.
NUCLEIC ACIDS RESEARCH (2014)
Epistasis between polymorphisms in COMT, ESR1, and GCH1 influences COMT enzyme activity and pain
Shad B. Smith et al.
PAIN (2014)
Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies
Vincent Botta et al.
PLOS ONE (2014)
Why epistasis is important for tackling complex human disease genetics
Trudy F. C. Mackay et al.
GENOME MEDICINE (2014)
GWIS - model-free, fast and exhaustive search for epistatic interactions in case-control GWAS
Benjamin Goudey et al.
BMC GENOMICS (2013)
Trees Assembling Mann-Whitney Approach for Detecting Genome-Wide Joint Association Among Low-Marginal-Effect Loci
Changshuai Wei et al.
GENETIC EPIDEMIOLOGY (2013)
STRING v9.1: protein-protein interaction networks, with increased coverage and integration
Andrea Franceschini et al.
NUCLEIC ACIDS RESEARCH (2013)
A Simple and Computationally Efficient Approach to Multifactor Dimensionality Reduction Analysis of Gene-Gene Interactions for Quantitative Traits
Jiang Gui et al.
PLOS ONE (2013)
The ChEMBL database as linked open data
Egon L. Willighagen et al.
JOURNAL OF CHEMINFORMATICS (2013)
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development
Sarah A. Pendergrass et al.
BIODATA MINING (2013)
A Review for Detecting Gene-Gene Interactions Using Machine Learning Methods in Genetic Epidemiology
Ching Lee Koo et al.
BIOMED RESEARCH INTERNATIONAL (2013)
eQTL Epistasis – Challenges and Computational Approaches
Yang Huang et al.
Frontiers in Genetics (2013)
Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks
Bing Han et al.
BMC SYSTEMS BIOLOGY (2012)
Travelling the world of gene-gene interactions
Kristel Van Steen
BRIEFINGS IN BIOINFORMATICS (2012)
A Likelihood Ratio-Based Mann-Whitney Approach Finds Novel Replicable Joint Gene Action for Type 2 Diabetes
Qing Lu et al.
GENETIC EPIDEMIOLOGY (2012)
The IntAct molecular interaction database in 2012
Samuel Kerrien et al.
NUCLEIC ACIDS RESEARCH (2012)
KEGG for integration and interpretation of large-scale molecular data sets
Minoru Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2012)
Causal graph-based analysis of genome-wide association data in rheumatoid arthritis
Alexander V. Alekseyenko et al.
BIOLOGY DIRECT (2011)
FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach
Bing Han et al.
BMC BIOINFORMATICS (2011)
SNPInterForest: A new method for detecting epistatic interactions
Makiko Yoshida et al.
BMC BIOINFORMATICS (2011)
bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies
Bing Han et al.
BMC GENOMICS (2011)
BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies
Xiang Wan et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2010)
On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data
Daniel F. Schwarz et al.
BIOINFORMATICS (2010)
A Markov blanket-based method for detecting causal SNPs in GWAS
Bing Han et al.
BMC BIOINFORMATICS (2010)
VIEWPOINT Missing heritability and strategies for finding the underlying causes of complex disease
Evan E. Eichler et al.
NATURE REVIEWS GENETICS (2010)
Epistasis in a quantitative trait captured by a molecular model of transcription factor interactions
Jason Gertz et al.
THEORETICAL POPULATION BIOLOGY (2010)
Epistasis and Its Implications for Personal Genetics
Jason H. Moore et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2009)
A random forest approach to the detection of epistatic interactions in case-control studies
Rui Jiang et al.
BMC BIOINFORMATICS (2009)
Confidence Interval or P-Value? Part 4 of a Series on Evaluation of Scientific Publications
Jean-Baptist du Prel et al.
DEUTSCHES ARZTEBLATT INTERNATIONAL (2009)
Identification of Gene-Gene Interactions in the Presence of Missing Data Using the Multifactor Dimensionality Reduction Method
Junghyun Namkung et al.
GENETIC EPIDEMIOLOGY (2009)
Finding the missing heritability of complex diseases
Teri A. Manolio et al.
NATURE (2009)
Detecting gene-gene interactions that underlie human diseases
Heather J. Cordell
NATURE REVIEWS GENETICS (2009)
Genomewide Association Studies - Illuminating Biologic Pathways
Joel N. Hirschhorn
NEW ENGLAND JOURNAL OF MEDICINE (2009)
Statistical challenges of high-dimensional data INTRODUCTION
Iain M. Johnstone et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2009)
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions
Casey S Greene et al.
BioData Mining (2009)
Conditional variable importance for random forests
Carolin Strobl et al.
BMC BIOINFORMATICS (2008)
Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseases
Kristine A. Pattin et al.
HUMAN GENETICS (2008)
Personal genomes: The case of the missing heritability
Brendan Maher
NATURE (2008)
PLINK: A tool set for whole-genome association and population-based linkage analyses
Shaun Purcell et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2007)
Bayesian inference of epistatic interactions in case-control studies
Yu Zhang et al.
NATURE GENETICS (2007)
Evaporative cooling feature selection for genotypic data involving interactions
B. A. McKinney et al.
BIOINFORMATICS (2007)
Exploring genetic interactions and networks with yeast
Charles Boone et al.
NATURE REVIEWS GENETICS (2007)
Stupid Data Miner Tricks: Overfitting the S&P 500
David J. Leinweber
JOURNAL OF INVESTING (2007)
Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions
William S. Bush et al.
BIOINFORMATICS (2006)
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
Jason H. Moore et al.
JOURNAL OF THEORETICAL BIOLOGY (2006)
Traversing the conceptual divide between biological and statistical epistasis: Systems biology and a more modern synthesis
JH Moore et al.
BIOESSAYS (2005)
Genome-wide strategies for detecting multiple loci that influence complex diseases
J Marchini et al.
NATURE GENETICS (2005)
Identifying SNPs predictive of phenotype using random forests
A Bureau et al.
GENETIC EPIDEMIOLOGY (2005)
Multifactor-dimensionality reduction shows a two-locus interaction associated with Type 2 diabetes mellitus
YM Cho et al.
DIABETOLOGIA (2004)
Theoretical and empirical analysis of ReliefF and RReliefF
M Robnik-Sikonja et al.
MACHINE LEARNING (2003)
Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions
LW Hahn et al.
BIOINFORMATICS (2003)
Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity
MD Ritchie et al.
GENETIC EPIDEMIOLOGY (2003)
The ubiquitous nature of epistasis in determining susceptibility to common human diseases
JH Moore
HUMAN HEREDITY (2003)
Epistasis: what it means, what it doesn't mean, and statistical methods to detect it in humans
HJ Cordell
HUMAN MOLECULAR GENETICS (2002)
A perspective on epistasis: Limits of models displaying no main effect
R Culverhouse et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2002)
Gene-gene interaction in asthma: IL4RA and IL13 in a Dutch population with asthma
TD Howard et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2002)
Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer
MD Ritchie et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2001)
Physical nature of higher-order mutual information: Intrinsic correlations and frustration
H Matsuda
PHYSICAL REVIEW E (2000)
Share Paper
