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ncRNAP.zip 784.4 kB 2 17-Sep-2012 04:21 ZhipingLiu

This page (revision-12) was last changed on 03-Jan-2013 21:28 by ZhipingLiu

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At line 1 changed 2 lines
__ncRNAP__: De novo prediction of non-coding RNA-protein interactions
* Last updated: July 21, 2012
__ncRNAP__: De novo prediction of RNA-protein interactions from sequence information
* Last updated: Sept. 14, 2012
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In this paper, we combined bioinformatics and experimental approach to de novo inferring non-coding RNA-protein interactions, and further conducted biological experiments to validate its effectiveness. We predicted protein-RNA interactions by an extended naïve-Bayes-classifier. Our predictor achieved high prediction accuracy. In particular, we demonstrate that the proposed method performs superior to the other machine-learning-based models for predicting protein-RNA interaction. We also conducted ncRNA pull-down experiments and identified interacting proteins of sbRNA CeN72 in C. elegans, which further demonstrate the effectiveness of our proposed method.
In this paper, we combined bioinformatics and experimental approach to de novo inferring RNA-protein interactions, especially ncRNA-protein, and further conducted biological experiments to validate its effectiveness. We predicted protein-RNA interactions by an extended naïve-Bayes-classifier. Our predictor achieved high prediction accuracy. In particular, we demonstrate that the proposed method performs superior to the other machine-learning-based models for predicting protein-RNA interaction. We also conducted ncRNA pull-down experiments and identified interacting proteins of sbRNA CeN72 in C. elegans, which further demonstrate the effectiveness of our proposed method.
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Our method is particular suitable for studying function roles for long non-coding RNA (lncRNAs), a novel class of RNA molecules, that exhibit rising interest within the research community in recent years. . You can find the supporting materials or other resources which referred in the paper. Any questions, please contact Zhi-Ping Liu by zpliu AT sibs.ac.cn. Pay attention to the users: You can use and redistribute the data and code if you accept GNU General Public License (GPL).
Our method is particular suitable for studying function roles for long non-coding RNA (lncRNAs), a novel class of RNA molecules, that exhibit rising interest within the research community in recent years. You can find the supporting materials or other resources which referred in the paper. Pay attention to the users: You can use and redistribute the data and code if you accept GNU General Public License (GPL).
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Any questions, please contact Dr. Zhi-Ping Liu by zpliu@sibs.ac.cn.
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* Ying Wang, Xiaowei Chen, Zhi-Ping Liu, Qiang Huang, Yong Wang, Xiang-Sun Zhang, Runsheng Chen, and Luonan Chen: De novo prediction of non-coding RNA-protein interactions. 2012, in submission.
* Ying Wang, Xiaowei Chen, Zhi-Ping Liu, Qiang Huang, Yong Wang, Xiang-Sun Zhang, Runsheng Chen, and Luonan Chen: De novo prediction of RNA-protein interactions from sequence information. 9(1):133-142, 2013.
Version Date Modified Size Author Changes ... Change note
12 03-Jan-2013 21:28 1.779 kB ZhipingLiu to previous
11 03-Jan-2013 21:27 1.776 kB ZhipingLiu to previous | to last
10 17-Sep-2012 04:19 1.78 kB ZhipingLiu to previous | to last
9 22-Jul-2012 03:48 1.734 kB ZhipingLiu to previous | to last
8 22-Jul-2012 03:38 1.731 kB ZhipingLiu to previous | to last
7 22-Jul-2012 03:36 1.733 kB ZhipingLiu to previous | to last
6 22-Jul-2012 03:34 1.667 kB ZhipingLiu to previous | to last LncRNA ==> NCRNAP
5 22-Jul-2012 03:33 1.667 kB ZhipingLiu to previous | to last NCRNAP ==> LncRNA
4 22-Jul-2012 03:32 1.667 kB ZhipingLiu to previous | to last
3 22-Jul-2012 03:23 0.009 kB ZhipingLiu to previous | to last NcRNAP ==> NCRNAP
2 22-Jul-2012 03:22 0.009 kB ZhipingLiu to previous | to last
1 22-Jul-2012 03:20 1.329 kB ZhipingLiu to last
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