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Viral Identification with a Probabilistic algorithm (VIPR)
Washington University in St. Louis
posted on 04/20/2010
VIPR (Viral Identification with a PRobabilistic algorithm) is a software tool for analyzing diagnostic microarrays. The VIPR algorithm is based on a Bayesian statistical framework and requires a training set of positive control hybridizations representing the desired diagnostic targets. The advantage of a probabilistic algorithm in this context is that the positive control data can be used to improve classification of unknown infections. VIPR version 2.0 also includes functionality for detecting recombinant viruses using a hidden Markov model.
Suggested Uses
Analyze diagnostic microarray data.
Advantages
VIPR offers improved prediction and accuracy over other available methods.
Detailed Description
Unpack VIPR with the following command:
tar -xvf vipr_linux_v2.0.tgz
File Number: 009925
Disease: Infectious Diseases
| Copyright: | Washington University 2009 |
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Academic/Non-Profit VIPR License Item type: Softwareview license
Free license for Academic/Non-Profits.
Unpack VIPR with the following command:
tar -xvf vipr_linux.tgz
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