cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit.
Min-Seok KwonKyunga KimSungyoung LeeTaesung ParkPublished in: BIBM Workshops (2010)
Keyphrases
- graphics processing units
- genome wide
- dimensionality reduction
- high throughput
- general purpose
- complex diseases
- linkage disequilibrium
- gpu implementation
- parallel implementation
- highly parallel
- parallel processing
- computing systems
- real time
- parallel computing
- graphics hardware
- high dimensional data
- principal component analysis
- massively parallel
- high dimensionality
- feature extraction
- low dimensional
- floating point
- human genome
- efficient implementation
- feature selection
- parallel computation
- high dimensional
- feature space
- genome wide association studies
- data points
- high performance computing
- compute unified device architecture
- biological data
- scientific computing
- single nucleotide polymorphisms
- database systems