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A novel k-mer set memory (KSM) motif representation improves regulatory variant prediction
View ORCID ProfileYuchun Guo, View ORCID ProfileKevin Tian, View ORCID ProfileHaoyang Zeng, View ORCID ProfileXiaoyun Guo, View ORCID ProfileDavid Kenneth Gifford
doi: https://doi.org/10.1101/130815
Yuchun Guo
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Kevin Tian
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Haoyang Zeng
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Xiaoyun Guo
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
David Kenneth Gifford
1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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Posted June 26, 2017.
A novel k-mer set memory (KSM) motif representation improves regulatory variant prediction
Yuchun Guo, Kevin Tian, Haoyang Zeng, Xiaoyun Guo, David Kenneth Gifford
bioRxiv 130815; doi: https://doi.org/10.1101/130815
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