cuGWAM: Genome-wide Association Multifactor Dimensionality reduction using CUDA-enabled high-performance graphics processing unit.
Min-Seok KwonKyunga KimSungyoung LeeTaesung ParkPublished in: Int. J. Data Min. Bioinform. (2012)
Keyphrases
- graphics processing units
- genome wide
- dimensionality reduction
- general purpose
- high throughput
- complex diseases
- parallel processing
- gpu implementation
- linkage disequilibrium
- parallel computing
- highly parallel
- graphics hardware
- principal component analysis
- computing systems
- high dimensional
- high dimensional data
- human genome
- low dimensional
- real time
- massively parallel
- high dimensionality
- efficient implementation
- feature extraction
- floating point
- parallel computation
- high performance computing
- parallel implementation
- genome wide association studies
- feature space
- feature selection
- compute unified device architecture
- scientific computing
- data points
- single nucleotide polymorphisms