Supervised categorical principal component analysis for genome-wide association analyses.
Meng LuHye-Seung LeeDavid HadleyJianhua Z. HuangXiaoning QianPublished in: BMC Genom. (2014)
Keyphrases
- genome wide
- principal component analysis
- high throughput
- complex diseases
- linkage disequilibrium
- dimensionality reduction
- human genome
- independent component analysis
- genome wide association studies
- unsupervised learning
- semi supervised
- face recognition
- supervised learning
- linear discriminant analysis
- learning algorithm
- dimension reduction
- feature space
- low dimensional
- transcription factors
- statistical analysis
- systems biology
- feature selection
- gene function
- high throughput sequencing
- machine learning
- gene gene interactions
- feature extraction
- microarray
- high dimensional data