BioSignatureDiscoverer_User_Manual

  • 更新时间: 2016-07-15 11:05:51
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Identifies minimal sets of molecular quantities that are highly predictive for a given outcome.

The BioSignature Discoverer plugin identifies minimal sets of molecular quantities that are highly predictive for a given outcome. Examples of BioSignature Discoverer capabilities are:  
  • finding the minimal sets of genes whose expression accurately discriminate between healthy individuals and cancer patients

  • discovering the set of metabolites that best predict crop quality before the harvesting

  • identifying the methylation signature that characterizes poor prognosis in autoimmune diseases.

Bio-Signature Discoverer allows researchers to accomplish these tasks and many others in a statistically robust, computationally efficient, and user-friendly way. Consult the manual for further information and practical case studies.

 

Plugin versions

The BioSignature – Discoverer plugin is released in two different versions. The “Full” version provides the whole set of BioSignature – Discoverer’s functionalities. The “Free” version comes free of charge, and it allows analyzing case-control data (binary classification). 

The server edition of the plug-in is available only in the Full version.

 

FunctionalityFreeFull
Binary Classification
Extended Hyper parameters optimization
Multiple Signatures
Multi-class Classification
Regression
Time-to-Event Analysis

*no customer support is provided for the Free version

 

More information

For further information, please visit the Gnosis Data Analysis website 


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