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pDHS-SVM: A prediction method for plant DNase I hypersensitive sites based on support vector machine.
J Theor Biol. 2017 Aug 7;426:126-133. doi: 10.1016/j.jtbi.2017.05.030. Epub 2017 May 26.
J Theor Biol. 2017.
PMID: 28552554
Our implementation of the novel proposed method pDHS-SVM is freely available as source code, at https://github.com/shanxinzhang/pDHS-SVM....
Our implementation of the novel proposed method pDHS-SVM is freely available as source code, at https://github.com/shanxinzhang/pDHS- …
pDHS-ELM: computational predictor for plant DNase I hypersensitive sites based on extreme learning machines.
Zhang S, Chang M, Zhou Z, Dai X, Xu Z.
Zhang S, et al.
Mol Genet Genomics. 2018 Aug;293(4):1035-1049. doi: 10.1007/s00438-018-1436-3. Epub 2018 Mar 29.
Mol Genet Genomics. 2018.
PMID: 29594496
Our pDHS-ELM tool is available from the following website https://github.com/shanxinzhang/pDHS-ELM/ ....
Our pDHS-ELM tool is available from the following website https://github.com/shanxinzhang/pDHS-ELM/ ....
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pDHS-DSET: Prediction of DNase I hypersensitive sites in plant genome using DS evidence theory.
Zhang S, Lin J, Su L, Zhou Z.
Zhang S, et al.
Anal Biochem. 2019 Jan 1;564-565:54-63. doi: 10.1016/j.ab.2018.10.018. Epub 2018 Oct 17.
Anal Biochem. 2019.
PMID: 30339812
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Prediction of DNase I hypersensitive sites in plant genome using multiple modes of pseudo components.
Zhang S, Zhuang W, Xu Z.
Zhang S, et al.
Anal Biochem. 2018 May 15;549:149-156. doi: 10.1016/j.ab.2018.03.025. Epub 2018 Mar 28.
Anal Biochem. 2018.
PMID: 29604265
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