Article thumbnail

A comparison of internal validation techniques for multifactor dimensionality reduction

By Stacey J Winham, Andrew J Slater and Alison A Motsinger-Reif
Topics: Research Article
Publisher: BioMed Central
OAI identifier:
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2000). A complete enumeration and classification of two-locus disease models. Hum Hered
  2. (2005). A global view of epistasis.
  3. (1997). Ahlbom A: Heritability for Alzheimer’s disease: The study of dementia in Swedish twins.
  4. (2008). Andrew AS: Robust Multifactor Dimensionality Reduction Method for Detecting Gene-Gene Interaction in Bladder Cancer. Genetic Epidemiology
  5. (2001). Contopoulos-Ioannidis DG: Replication validity of genetic association studies. Nat Genet
  6. (2005). Core Team: R: A language and environment for statistical computing. R Foundation for Statistical Computing.
  7. (2005). Data Mining:
  8. (2004). Genetics, statistics and human disease: analytical retooling for complexity. Trends Genet
  9. (1995). Giltinian DM: Nonlinear Models for Repeated Measurement Data. Chapman and Hall
  10. (2007). JH: A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genet Epidemiol
  11. (2006). JH: A novel method to identify gene-gene effects in nuclear families: the MDR-PDT. Genet Epidemiol
  12. (2001). JH: Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  13. (2001). JH: The elements of statistical learning.
  14. (2006). Landay A: Immunogenetics of CD4 lymphocyte count recovery during antiretroviral therapy: An AIDS Clinical Trials Group study.
  15. (2006). Longitudinal Data Analysis.
  16. (2008). MD: A comparison of analytical methods for genetic association studies. Genet Epidemiol
  17. (2007). MD: A generalized combinatorial approach for detecting gene-by-gene and gene-byenvironment interactions with application to nicotine dependence.
  18. (2006). MD: Alternative cross-over strategies and selection techniques for Grammatical Evolution Optimized Neural Networks.
  19. (2007). MD: Complex gene-gene interactions in multiple sclerosis: a multifactorial approach reveals associations with inflammatory genes. Neurogenetics
  20. (2006). MD: Multifactor dimensionality reduction reveals gene-gene interactions associated with multiple sclerosis susceptibility in African Americans. Genes Immun
  21. (2006). MD: Parallel multifactor dimensionality reduction: a tool for the large-scale analysis of gene-gene interactions. Bioinformatics
  22. (2007). MD: Resolving the power of multifactor dimensionality reduction in the presence of many noise variables or genetic heterogeneity. Genet Epidemiol
  23. (2006). MD: The effect of reduction in cross-validation intervals on the performance of multifactor dimensionality reduction. Genet Epidemiol
  24. (2003). Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions. Bioinformatics
  25. (2007). Odds ratio based multifactordimensionality reduction method for detecting gene-gene interactions. Bioinformatics
  26. (2003). Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity. Genet Epidemiol
  27. (2008). Reif DM: Epistasis List: A Curated Database
  28. (1996). Schork NJ: Who’s afraid of epistasis?
  29. (2002). SM: New strategies for identifying gene-gene interactions in hypertension. Ann Med
  30. (2002). T: A perspective on epistasis: limits of models displaying no main effect.
  31. (2009). T: New evaluation measures for multifactor dimensionality reduction classifiers in genegene interaction analysis. Bioinformatics
  32. (2004). The challenges of whole-genome approaches to common diseases. JAMA
  33. (2003). The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Hum Hered
  34. (2006). White BC: A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility.
  35. (2006). White BC: Routine discovery of high order epistasis models for simulation studies in human genetics. Applied Soft Computing 2004, 4:7. Winham et al.
  36. (2008). X: Interaction between interleukin 3 and dystrobrevin-binding protein 1 in schizophrenia. Schizophr Res