kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.
Chen CaoDevin KwokShannon EdieQing LiBowei DingPathum KossinnaSimone CampbellJingjing WuMatthew GreenbergQuan LongPublished in: Briefings Bioinform. (2021)
Keyphrases
- linkage disequilibrium
- statistical power
- kernel machines
- association studies
- statistical significance
- sample size
- genome wide
- support vector
- interaction effects
- statistically significant
- semi supervised
- haplotype inference
- kernel function
- high throughput
- human genome
- data sets
- model selection
- regression model
- training data