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Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology.

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TimesVector: a vectorized clustering approach to the analysis of time series transcriptome data from multiple phenotypes., , , , , and . Bioinform., 33 (23): 3827-3835 (2017)Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric., , , , and . MICCAI (2), volume 6892 of Lecture Notes in Computer Science, page 302-309. Springer, (2011)Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology., , , , , , , , and . NeuroImage, (2014)Discriminative persistent homology of brain networks., , , , and . ISBI, page 841-844. IEEE, (2011)Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity., , , , , , and . CTIC, volume 11382 of Lecture Notes in Computer Science, page 110-122. Springer, (2019)Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian., , , , , and . ISBI, page 20-23. IEEE, (2018)Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian., , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 297-304. Springer, (2014)Coidentification of Group-Level Hole Structures in Brain Networks via Hodge Laplacian., , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 674-682. Springer, (2019)