bioRxivBioinformaticsPreprint
Circuit motifs and graph properties of connectome development in C. elegans
Jordan MatelskyiD, Raphael Norman-TenazasiD, Felicia DavenportiD, Elizabeth P. ReillyiD, William Gray-RoncaliD
Abstract
Network science is a powerful tool that can be used to better explore the complex structure of brain networks. Leveraging graph and motif analysis tools, we interrogate C. elegans connectomes across multiple developmental time points and compare the resulting graph characteristics and substructures over time. We show the evolution of the networks and highlight stable invariants and patterns as well as those that grow or decay unexpectedly, providing a substrate for additional analysis.
- organism: C. elegans
- research focus: benchmarking
- approach: statistical model
- approach: graph neural network
- Citations
- 5
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