Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies.
Saved in:
| Title: | Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. |
|---|---|
| Authors: | Green, Adrian J.1,2 (AUTHOR) ajgreen4@ncsu.edu, Truong, Lisa3 (AUTHOR), Thunga, Preethi1 (AUTHOR), Leong, Connor3 (AUTHOR), Hancock, Melody1 (AUTHOR), Tanguay, Robyn L.3 (AUTHOR), Reif, David M.1,4 (AUTHOR) |
| Source: | PLoS Computational Biology. 9/10/2024, Vol. 20 Issue 9, p1-17. 17p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!