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Article

Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition

2020-05-28

Abstract excerpt

Structural brain networks constructed from diffusion MRI are important biomarkers for understanding human brain structure and its relation to cognitive functioning. There is increasing interest in learning differences in structural brain networks between groups of subjects in neuroimaging studies, leading to a variable selection problem in network classification. Traditional methods often use independent edgewise...

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Literature Corpus work
55459fe6-24cc-544d-9baa-84091231e579
DOI
10.1101/2020.05.26.116475
Open publication

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Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized CognitionDOI 10.1101/2020.05.26.116475
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