Imaging genetics and genomics in psychiatry: a critical review of progress and potential
Imaging genetics and genomics research has begun to provide insight into the molecular
and genetic architecture of neural phenotypes and the neural mechanisms through which …
and genetic architecture of neural phenotypes and the neural mechanisms through which …
Genetics of the connectome
Connectome genetics attempts to discover how genetic factors affect brain connectivity.
Here we review a variety of genetic analysis methods—such as genome-wide association …
Here we review a variety of genetic analysis methods—such as genome-wide association …
A review of multivariate analyses in imaging genetics
J Liu, VD Calhoun - Frontiers in neuroinformatics, 2014 - frontiersin.org
Recent advances in neuroimaging technology and molecular genetics provide the unique
opportunity to investigate genetic influence on the variation of brain attributes. Since the year …
opportunity to investigate genetic influence on the variation of brain attributes. Since the year …
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach
Brain imaging genetics becomes an important research topic since it can reveal complex
associations between genetic factors and the structures or functions of the human brain …
associations between genetic factors and the structures or functions of the human brain …
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction
Alzheimer's disease (AD) is an incurable neurodegenerative disease, so it is important to
intervene in the early stage of the disease. Brain imaging genetics is an effective technique …
intervene in the early stage of the disease. Brain imaging genetics is an effective technique …
Machine learning for brain imaging genomics methods: a review
In the past decade, multimodal neuroimaging and genomic techniques have been
increasingly developed. As an interdisciplinary topic, brain imaging genomics is devoted to …
increasingly developed. As an interdisciplinary topic, brain imaging genomics is devoted to …
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics
The advances in technologies for acquiring brain imaging and high-throughput genetic data
allow the researcher to access a large amount of multi-modal data. Although the sparse …
allow the researcher to access a large amount of multi-modal data. Although the sparse …
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm
Motivation: Imaging genetics is an emerging field that studies the influence of genetic
variation on brain structure and function. The major task is to examine the association …
variation on brain structure and function. The major task is to examine the association …
Sparse semiparametric canonical correlation analysis for data of mixed types
G Yoon, RJ Carroll, I Gaynanova - Biometrika, 2020 - academic.oup.com
Canonical correlation analysis investigates linear relationships between two sets of
variables, but it often works poorly on modern datasets because of high dimensionality and …
variables, but it often works poorly on modern datasets because of high dimensionality and …
Mining outcome-relevant brain imaging genetic associations via three-way sparse canonical correlation analysis in Alzheimer's disease
Neuroimaging genetics is an emerging field that aims to identify the associations between
genetic variants (eg, single nucleotide polymorphisms (SNPs)) and quantitative traits (QTs) …
genetic variants (eg, single nucleotide polymorphisms (SNPs)) and quantitative traits (QTs) …