Papers from the Workshop on data mining for high throughput data from genome-wide association studies held at the IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010) held in Hong Kong, 18-21 December 2010.
- Support Vector Machines with L1 penalty for detecting gene-gene interactions
- cuGWAM: Genome-wide Association Multifactor Dimensionality reduction using CUDA-enabled high-performance graphics processing unit
- Multilocus association analysis under polygenic models
- Unbalanced sample size effect on genome-wide population differentiation studies
- Pattern discovery of multivariate phenotypes by Association Rule Mining and its scheme for Genome-Wide Association Studies
- Selecting SNPs for pharmacogenomic association study
- A 2-phased approach for detecting multiple loci associations with traits
- Predicting linear B-cell epitopes by using sequence-derived structural and physicochemical features
No comments:
Post a Comment