frankchen121212/RHSNet: Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification

Type
Software
Authors
Li, Yu
Chen, Siyuan
Rapakoulia, Trisevgeni
Kuwahara, Hiroyuki
Yip, Kevin Y
Gao, Xin cc
KAUST Department
Computer Science
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Computational Bioscience Research Center (CBRC)
Computer Science Program
Date
2021-05-14
Permanent link to this record
http://hdl.handle.net/10754/676686

Metadata
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Abstract
Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification
Publisher
Github
Additional Links
https://github.com/frankchen121212/RHSNet
Relations
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
Collections
Structural and Functional Bioinformatics Group; Computer Science Program; Computational Bioscience Research Center (CBRC); Software; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division