A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases

In brain imaging genetics, multi-task sparse canonical correlation analysis (MTSCCA) is effective to study the bi-multivariate associations between genetic variations such as single nucleotide polymorphisms (SNPs) and multi-modal imaging quantitative traits (QTs). However, most existing MTSCCA metho...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2023-04, Vol.232, p.107450-107450, Article 107450
Hauptverfasser:	Zhang, Xin, Hao, Yipeng, Zhang, Jin, Ji, Yanuo, Zou, Shihong, Zhao, Shijie, Xie, Songyun, Du, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alzheimer Disease - diagnostic imaging Alzheimer Disease - genetics Brain - diagnostic imaging Brain imaging genetics Feature selection Humans Magnetic Resonance Imaging Multi-task sparse canonical correlation analysis (MTSCCA) Neurodegenerative Diseases - diagnostic imaging Neurodegenerative Diseases - genetics Neuroimaging - methods Parameter decomposition
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