Cargando…
Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies
Zebrafish have become an essential tool in screening for developmental neurotoxic chemicals and their molecular targets. The success of zebrafish as a screening model is partially due to their physical characteristics including their relatively simple nervous system, rapid development, experimental...
Autores principales: | Green, Adrian J., Truong, Lisa, Thunga, Preethi, Leong, Connor, Hancock, Melody, Tanguay, Robyn L., Reif, David M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515950/ https://www.ncbi.nlm.nih.gov/pubmed/37745446 http://dx.doi.org/10.1101/2023.09.13.557544 |
Ejemplares similares
-
Concurrent Evaluation of Mortality and Behavioral Responses: A Fast and Efficient Testing Approach for High-Throughput Chemical Hazard Identification
por: Thunga, Preethi, et al.
Publicado: (2021) -
Utilizing a Population-Genetic Framework to Test for Gene-Environment Interactions between Zebrafish Behavior and Chemical Exposure
por: Thunga, Preethi, et al.
Publicado: (2022) -
Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish
por: Truong, Lisa, et al.
Publicado: (2022) -
Leveraging a High-Throughput Screening Method to Identify Mechanisms of Individual Susceptibility Differences in a Genetically Diverse Zebrafish Model
por: Wallis, Dylan J., et al.
Publicado: (2022) -
A New Statistical Approach to Characterize Chemical-Elicited Behavioral Effects in High-Throughput Studies Using Zebrafish
por: Zhang, Guozhu, et al.
Publicado: (2017)