Related references
Note: Only part of the references are listed.Pathway hunting by random survival forests
Xi Chen et al.
BIOINFORMATICS (2013)
Machine learning approaches for the discovery of gene-gene interactions in disease data
Rosanna Upstill-Goddard et al.
BRIEFINGS IN BIOINFORMATICS (2013)
Application of statistics and machine learning for risk stratification of heritable cardiac arrhythmias
P. S. Wasan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
SNP interaction detection with Random Forests in high-dimensional genetic data
Stacey J. Winham et al.
BMC BIOINFORMATICS (2012)
GuiTope: an application for mapping random-sequence peptides to protein sequences
Rebecca F. Halperin et al.
BMC BIOINFORMATICS (2012)
SVM-Based Generalized Multifactor Dimensionality Reduction Approaches for Detecting Gene-Gene Interactions in Family Studies
Yao-Hwei Fang et al.
GENETIC EPIDEMIOLOGY (2012)
A genome-wide screen of gene-gene interactions for rheumatoid arthritis susceptibility
Chunyu Liu et al.
HUMAN GENETICS (2011)
On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data
Daniel F. Schwarz et al.
BIOINFORMATICS (2010)
Bioinformatics challenges for genome-wide association studies
Jason H. Moore et al.
BIOINFORMATICS (2010)
Identification of Type 2 Diabetes-associated combination of SNPs using Support Vector Machine
Hyo-Jeong Ban et al.
BMC GENETICS (2010)
Rule extraction from support vector machines A review
Nahla Barakat et al.
NEUROCOMPUTING (2010)
ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci
Stephen D Turner et al.
BioData Mining (2010)
A random forest approach to the detection of epistatic interactions in case-control studies
Rui Jiang et al.
BMC BIOINFORMATICS (2009)
Neural networks for modeling gene-gene interactions in association studies
Frauke Guenther et al.
BMC GENETICS (2009)
Identifying gene-disease associations using centrality on a literature mined gene-interaction network
Arzucan Oezguer et al.
BIOINFORMATICS (2008)
A support vector machine approach for detecting gene-gene interaction
Shyh-Huei Chen et al.
GENETIC EPIDEMIOLOGY (2008)
Neural networks for genetic epidemiology: past, present, and future
Alison A Motsinger-Reif et al.
BioData Mining (2008)
Comparison of artificial neural network analysis with other multimarker methods for detecting genetic association
David Curtis
BMC GENETICS (2007)
Detection of gene x gene interactions in genome-wide association studies of human population data
Solomon K. Musani et al.
HUMAN HEREDITY (2007)
Genetic programming neural networks: A powerful bioinformatics tool for human genetics
Marylyn D. Ritchie et al.
APPLIED SOFT COMPUTING (2007)
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
AA Motsinger et al.
BMC BIOINFORMATICS (2006)
Discovering gene networks with a neural-genetic hybrid
E Keedwell et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2005)
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction model on childhood allergic asthma
Y Tomita et al.
BMC BIOINFORMATICS (2004)
Screening large-scale association study data: exploiting interactions using random forests
KL Lunetta et al.
BMC GENETICS (2004)
Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases
MD Ritchie et al.
BMC BIOINFORMATICS (2003)
Artificial neural networks: fundamentals, computing, design, and application
IA Basheer et al.
JOURNAL OF MICROBIOLOGICAL METHODS (2000)
Share Paper
