SA26 SPARSE CANONICAL CORRELATION IN APPLICATION TO BIPOLAR PSYCHOTIC PHENOTYPES AND SCHIZOPHRENIA GENOME-WIDE SIGNIFICANT GENETIC LOCI
Sign Up to like & getrecommendations! Published in 2019 at "European Neuropsychopharmacology"
DOI: 10.1016/j.euroneuro.2017.08.098
Abstract: Background The aetiology of Bipolar Disorder (BD) and Schizophrenia (SZ) involves a complex gene-environment interplay and this involves common risk alleles that are shared across the disorders. Bipolar disorder is heterogeneous in presentation and we… read more here.
Keywords: genome wide; sparse canonical; analysis; canonical correlation ... See more keywords
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac074
Abstract: MOTIVATION As a rising research topic, brain imaging genetics aims to investigate the potential genetic architecture of both brain structure and function. It should be noted that in the brain, not all variations are deservedly… read more here.
Keywords: brain; analysis; sparse canonical; reconstruction sparse ... See more keywords
Identifying Modality-Consistent and Modality-Specific Features via Label-Guided Multi-Task Sparse Canonical Correlation Analysis for Neuroimaging Genetics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3203152
Abstract: Brain imaging genetics provides the foundation for further revealing brain disorder, which combines genetic variation with brain structure or functions. Recently, sparse canonical correlation analysis (SCCA) and multimodality analysis have been widely utilized for imaging… read more here.
Keywords: genetics; modality; analysis; sparse canonical ... See more keywords
Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12715
Abstract: Integrative analysis of high dimensional omics data is becoming increasingly popular. At the same time, incorporating known functional relationships among variables in analysis of omics data has been shown to help elucidate underlying mechanisms for… read more here.
Keywords: integrative analysis; information; transcriptomic metabolomic; sparse canonical ... See more keywords