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MDK.rar 3.8 kB 1 14-May-2011 21:18 LingyunWu
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MRWR.rar 4.0 kB 1 14-May-2011 21:18 LingyunWu
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example.rar 5.3 kB 1 14-May-2011 21:18 LingyunWu

This page (revision-7) was last changed on 20-Nov-2011 22:33 by LingyunWu

This page was created on 30-Mar-2010 11:00 by LingyunWu

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* Xing Chen, Gui-Ying Yan, Xiao-Ping Liao. __A novel disease genes prioritization method using module partition and rank fusion.__ Submitted to OMICS: A Journal of Integrative Biology.
* Chen X, Yan GY, Liao XP (2010) __A novel candidate disease genes prioritization method based on module partition and rank fusion.__ ''OMICS'' 4: 337-356.
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The aim of MCDGPA is to predict potential disease-related genes. We first partition the network into several modules and then obtain the ranking of candidate genes in each disease-associated module and finally give a global ranking of candidate genes in the entire network to select the most probable disease gene. ENDEAVOUR, Diffusion Kernel (DK) and Random Walk with Restart (RWR) have shown to be effective in previous research (Aerts et al., 2006; Kohler et al., 2008). Here we put forward three Modularized Candidate Disease Genes Prioritization Algorithms (MCDGPA): Modularized ENDEAVOUR (MENDEAVOUR), Modularized Random Walk with Restart (MRWR) and Modularized Diffusion Kernel (MDK). MCDGPA is composed of three steps: network partition, getting local ranking in each disease-associated module and getting global ranking in the entire network.
The aim of MCDGPA is to predict potential disease-related genes. We first partition the network into several modules and then obtain the ranking of candidate genes in each disease-associated module and finally give a global ranking of candidate genes in the entire network to select the most probable disease gene. ENDEAVOUR, Diffusion Kernel (DK) and Random Walk with Restart (RWR) have shown to be effective in previous research (Aerts et al., 2006; Kohler et al., 2008). Here we put forward three Modularized Candidate Disease Genes Prioritization Algorithms (MCDGPA): Modularized ENDEAVOUR (MENDEAVOUR), Modularized Random Walk with Restart (MRWR) and Modularized Diffusion Kernel (MDK). MCDGPA is composed of three steps: network partition, getting local ranking in each disease-associated module and getting global ranking in the entire network.
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* [Modularized Random Walk with Restart.rar|File:MCDGPA/MRWR.rar]
* [Modularized Diffusion Kernel.rar|File:MCDGPA/MDK.rar]
* [Example.rar|File:MCDGPA/example.rar]
* [Modularized Random Walk with Restart.rar|MCDGPA/MRWR.rar]
* [Modularized Diffusion Kernel.rar|MCDGPA/MDK.rar]
* [Example.rar|MCDGPA/example.rar]
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Category: [Supplementary] [Software]
Version Date Modified Size Author Changes ... Change note
7 20-Nov-2011 22:33 3.411 kB LingyunWu to previous
6 15-May-2011 16:24 3.49 kB LingyunWu to previous | to last
5 14-May-2011 21:19 3.363 kB LingyunWu to previous | to last
4 16-Feb-2011 15:15 3.378 kB LingyunWu to previous | to last
3 30-Mar-2010 11:02 3.411 kB LingyunWu to previous | to last
2 30-Mar-2010 11:00 3.407 kB LingyunWu to previous | to last
1 30-Mar-2010 11:00 3.414 kB LingyunWu to last
« This page (revision-7) was last changed on 20-Nov-2011 22:33 by LingyunWu