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    Tool Name:  

Signalling Entropy   Downloaded: 0   Viewed: 0
Developed By: Computational Systems Genomics

    Introduction:  

We will describe one approach which does it at the level of individual samples, in which case the gene expression data must be positively valued (e.g. the expression data must derive from Affy, Illumina or RNA-Seq count data) and the mass action principle is used to construct the stochastic matrix over the network..

    Documentation & Usage:  

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    Downloads :  

Signalling Entropy is developed and maintained by CAS-MPG Partner Institute for Computational Biology(PICB) ,Chinese Academy of Sciences. The software is only free of charge for non-commercial users.

    Reference:  

http://sourceforge.net/projects/signalentropy/files/?source=navbar

    Contact Information:  

If you have any feedback or question concerning the tools you can further click the Project Website , or please feel free to contact us at andrewpicb.ac.cn.