metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.
Anna CichonskaJuho RousuPekka MarttinenAntti J. KangasPasi SoininenTerho LehtimäkiOlli T. RaitakariMarjo-Riitta JärvelinVeikko SalomaaMika Ala-KorpelaSamuli RipattiMatti PirinenPublished in: Bioinform. (2016)
Keyphrases
- meta analysis
- summary statistics
- genome wide association studies
- microarray data
- data sets
- biological data
- complex diseases
- linkage disequilibrium
- genome wide
- gene expression profiles
- range queries
- human genome
- gene expression data
- high throughput
- statistical tests
- gene expression
- microarray
- index structure
- support vector machine
- knowledge discovery
- database systems