GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Lei DuJingwen YanSungeun KimShannon L. RisacherHeng HuangMark InlowJason H. MooreAndrew J. SaykinLi ShenPublished in: BIH (2015)
Keyphrases
- canonical correlation analysis
- brain imaging
- human brain
- least squares
- partial least squares
- image analysis
- structured sparse learning
- brain images
- factor analysis
- medical imaging
- dimensionality reduction methods
- pattern recognition
- discriminant analysis
- brain regions
- dimension reduction
- magnetic resonance
- white matter
- statistically significant
- information processing
- data analysis
- data sets