Pages that link to "Item:Q6055497"
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The following pages link to Brain connectivity alteration detection via matrix‐variate differential network model (Q6055497):
Displaying 9 items.
- Detecting and testing altered brain connectivity networks with \(k\)-partite network topology (Q2008002) (← links)
- Matrix Graph Hypothesis Testing and Application in Brain Connectivity Alternation Detection (Q4626691) (← links)
- Bayesian modeling of multiple structural connectivity networks during the progression of Alzheimer's disease (Q6047749) (← links)
- Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery (Q6055706) (← links)
- Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data (Q6079710) (← links)
- Consistent Estimation of the Number of Communities via Regularized Network Embedding (Q6079724) (← links)
- Hypothesis Testing of Matrix Graph Model with Application to Brain Connectivity Analysis (Q6079973) (← links)
- Differential network knockoff filter with application to brain connectivity analysis (Q6618396) (← links)
- Three-way data clustering based on the mean-mixture of matrix-variate normal distributions (Q6626683) (← links)
