Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror

Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror

Abstract Recent advancements have been made in the development of cell-based in-vitro neuronal networks, or organoids. In order to better understand the network structure of these organoids, a super-selective algorithm has been proposed for inferring the effective connectivity networks from multi-el...

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Bibliographic Details
Main Authors: Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White, Carey E. Priebe
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:Applied Network Science
Subjects:
Organoid
Time series network analysis
Multidimensional scaling
Manifold learning
Change point detection
Online Access:https://doi.org/10.1007/s41109-023-00564-5

Internet

https://doi.org/10.1007/s41109-023-00564-5

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