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 dataset.zip 217.5 kB 1 23-Oct-2012 11:30 YongWang
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 software.zip 140.3 kB 1 23-Oct-2012 11:30 YongWang softare

This page (revision-6) was last changed on 31-Oct-2012 15:15 by YongWang

This page was created on 23-Oct-2012 11:29 by YongWang

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At line 1 changed one line
__NetPredATC__: Network predicting drug's anatomical therapeutic chemical code
__PreDR__: Drug repositioning from chemical, genomic and pharmacological data in an integrated framework
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Here, we propose a novel method to integrate chemical structures, target proteins, and side-effects to predict drug
repositioning by uncovering the potential associations between drugs and diseases. Specially, we first characterize drug and disease by their similarity-based profiles, and define the kernel function to correlate drug with disease. Finally, we train a machine learning model, support vector machine (SVM), to automatically predict novel drug-disease interactions. The new method is validated on a well-established drug-disease networks with 1,933 interactions between
Here, we propose a novel method named PreDR, to integrate chemical structures, target proteins, and side-effects to predict drug repositioning by uncovering the potential associations between drugs and diseases. Specially, we first characterize drug and disease by their similarity-based profiles, and define the kernel function to correlate drug with disease. Finally, we train a machine learning model, support vector machine (SVM), to automatically predict novel drug-disease interactions. The new method is validated on a well-established drug-disease networks with 1,933 interactions between
At line 27 changed one line
* [software.zip|software.zip]
* [PreDR.zip|software.zip]
Version Date Modified Size Author Changes ... Change note
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5 23-Oct-2012 11:33 2.219 kB YongWang to previous | to last
4 23-Oct-2012 11:33 2.215 kB YongWang to previous | to last
3 23-Oct-2012 11:32 2.219 kB YongWang to previous | to last
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