Exhaustive Multi-Parametric Assessment of the Behavioral Array of Daily Activities of Mice Using Cluster and Factor Analysis

Using automated supervised behavioral assessment software, we recorded and analyzed 24 h non-interrupted recordings of mice for a duration of 11 days. With the assistance of free R programming, we used correlation matrix-based hierarchical clustering and factor analysis to separate the 33 activities...

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Detalles Bibliográficos
Autores principales: Yamamoto, Kenzo, Gris, Katsiaryna V., Sotelo Fonseca, Jesús E., Gharagozloo, Marjan, Mahmoud, Shaimaa, Simard, Camille, Houle-Martel, Daphné, Cloutier, Theodore, Gris, Pavel, Gris, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125369/
https://www.ncbi.nlm.nih.gov/pubmed/30214401
http://dx.doi.org/10.3389/fnbeh.2018.00187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125369/
https://www.ncbi.nlm.nih.gov/pubmed/30214401
http://dx.doi.org/10.3389/fnbeh.2018.00187

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