In this work, the hypergraph-structured multi-task sparse canonical correlation analysis (HS-MTSCCA) was developed to explore the associations between multi- ...
Feb 13, 2024 · Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis.
Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis ... Authors: Peilun Song ...
Jun 3, 2024 · Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis.
Jan 29, 2024 · Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis
In this study, we propose a novel multi-task learning based structured sparse canonical correlation analysis (MTS2CCA) to deliver interpretable results and ...
Results: We propose a novel temporal imaging genetic model which performs the multi-task sparse canonical correlation analysis (T-MTSCCA). Our model uses ...
Multi-task learning based structured sparse canonical correlation ...
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Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis. P. SongXue LiXiuxia ...
Jun 3, 2024 · Identifying frequency-dependent imaging genetic associations via hypergraph-structured multi-task sparse canonical correlation analysis.
Feb 1, 2023 · One widely studied problem in brain imaging genetics is to perform association analysis for identifying genetic variations, such as single ...
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