2023 article

Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies

Green, A. J., Truong, L., Thunga, P., Leong, C., Hancock, M., Tanguay, R. L., & Reif, D. M. (2023, September 17).

By: A. Green  n, L. Truong, P. Thunga  n, C. Leong, M. Hancock  n, R. Tanguay, D. Reif n 

TL;DR: It is demonstrated that a deep autoencoder using raw behavioral tracking data from zebrafish toxicity screens outperforms conventional statistical methods, resulting in a comprehensive evaluation of behavioral data. (via Semantic Scholar)
Source: ORCID
Added: September 18, 2023

Abstract