Article Information
History
- August 19, 2021.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Yuta Tokuoka1,
- Takahiro G. Yamada1,2,
- Daisuke Mashiko3,
- Zenki Ikeda3,
- Tetsuya J. Kobayashi4,
- Kazuo Yamagata3 and
- Akira Funahashi1,2,*
- 1Center for Biosciences and Informatics, Graduate School of Fundamental Science and Technology, Keio University, Kanagawa, Japan
- 2Department of Biosciences and Informatics, Keio University, Kanagawa, Japan
- 3Faculty of Biology-Oriented Science and Technology, Kindai University, Wakayama, Japan
- 4Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
- ↵* Corresponding author; email: funa{at}bio.keio.ac.jp
Posted August 19, 2021.
Deep learning-based algorithm for predicting the live birth potential of mouse embryos
