frankchen121212/RHSNet: Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification
Type
SoftwareKAUST Department
Computer ScienceComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Computational Bioscience Research Center (CBRC)
Computer Science Program
Date
2021-05-14Permanent link to this record
http://hdl.handle.net/10754/676686
Metadata
Show full item recordAbstract
Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantificationPublisher
GithubAdditional Links
https://github.com/frankchen121212/RHSNetRelations
Is Supplement To:- [Article]
Li, Y., Chen, S., Rapakoulia, T., Kuwahara, H., Yip, K. Y., & Gao, X. (2022). Deep learning identifies and quantifies recombination hotspot determinants. Bioinformatics. https://doi.org/10.1093/bioinformatics/btac234. DOI: 10.1093/bioinformatics/btac234 Handle: 10754/676242