Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies.
Jun Young ParkJang Jae LeeYounghwa LeeDongsoo LeeJungsoo GimLindsay A. FarrerKun Ho LeeSungho WonPublished in: Bioinform. (2023)
Keyphrases
- linkage disequilibrium
- statistical power
- machine learning
- association studies
- sample size
- statistical significance
- haplotype inference
- genome wide
- machine learning methods
- interaction effects
- statistically significant
- decision trees
- learning algorithm
- model selection
- machine learning algorithms
- entropy minimization
- answer set programming
- data mining
- data acquisition
- active learning
- similarity measure
- human genome
- measurement error
- registration errors
- statistical tests
- high dimensional