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dc.contributor.authorLi, Yu
dc.contributor.authorChen, Siyuan
dc.contributor.authorRapakoulia, Trisevgeni
dc.contributor.authorKuwahara, Hiroyuki
dc.contributor.authorYip, Kevin Y
dc.contributor.authorGao, Xin
dc.date.accessioned2022-05-09T06:22:41Z
dc.date.available2022-05-09T06:22:41Z
dc.date.issued2021-05-14
dc.identifier.urihttp://hdl.handle.net/10754/676686
dc.description.abstractTensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification
dc.publisherGithub
dc.relation.urlhttps://github.com/frankchen121212/RHSNet
dc.titlefrankchen121212/RHSNet: Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification
dc.typeSoftware
dc.contributor.departmentComputer Science
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.institutionDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
dc.contributor.institutionThe CUHK Shenzhen Research Institute, Hi-Tech Park, Nanshan, Shenzhen 518057, China
dc.contributor.institutionMax Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany
kaust.personLi, Yu
kaust.personChen, Siyuan
kaust.personKuwahara, Hiroyuki
kaust.personGao, Xin
dc.relation.issupplementtoDOI:10.1093/bioinformatics/btac234
display.relations<b>Is Supplement To:</b><br/> <ul><li><i>[Article]</i> <br/> 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: <a href="https://doi.org/10.1093/bioinformatics/btac234" >10.1093/bioinformatics/btac234</a> Handle: <a href="http://hdl.handle.net/10754/676242" >10754/676242</a></a></li></ul>
dc.identifier.githubfrankchen121212/RHSNet


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