An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation.
Christopher S. CoffeyPatricia R. HebertMarylyn D. RitchieHarlan M. KrumholzJ. Michael GazianoPaul M. RidkerNancy J. BrownDouglas E. VaughanJason H. MoorePublished in: BMC Bioinform. (2004)
Keyphrases
- logistic regression
- model validation
- myocardial infarction
- dimensionality reduction
- odds ratio
- gene gene interactions
- decision trees
- support vector
- naive bayes
- logistic regression models
- feature extraction
- low dimensional
- high dimensional data
- loss function
- high dimensional
- complex diseases
- high dimensionality
- risk management
- magnetic resonance images
- fold cross validation
- principal component analysis
- feature selection
- feature space
- genome wide
- risk assessment
- pattern recognition
- random forest
- linear discriminant analysis
- breast cancer
- data points