Mining high-level imaging genetic associations via clustering ad candidate variants with similar brain association patterns

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  • who: Ruiming Wu et al. from the University of Pennsylvania, Philadelphia, PA, USA have published the Article: Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns, in the Journal: Genes 2022, 13, 1520. of 16/06/2022
  • what: To overcome this limitation this work proposes new approach that identifies high-level imaging genetic through applying multigraph to the SNP-QT maps. In this work, instead of using the knowledge-driven, predefined imaging genetic modules, the authors propose an alternative data-driven approach to identify high-level imaging genetic . . .

     

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