CSIRO’s new statistical methods enable analysis of very complicated microarray data.

GeneRave: software for bioinformatics

GeneRave is a new statistical technique specifically for microarray data that is able to cope with the multivariate nature of microarray data and extract meaningful information from it.

• 19 October 2010 | Updated 14 October 2011

• About GeneRave 
• What GeneRave does
• Advantages

About GeneRave

CSIRO Mathematical and Information Sciences has developed a suite of proprietary statistical techniques for analysing microarray data. 

Microarrays are used to analyse thousands of genes, and even the whole genome of an organism, at the same time.

Microarrays can be used to identify genes that are involved in key biological processes and how groups of genes work together.

GeneRave is able to cope with the multivariate nature of microarray data and extract meaningful information from it.

When used in diagnostics, for example, these techniques enable researchers to distinguish between classes of disease with just two to three genes, compared to competing techniques that use 50-100 genes to achieve the same accuracy.

GeneRave is a tool suitable for researchers in bioinformatics for health and agriculture.

GeneRave can be used for developing:

• simpler clinical diagnostics
• efficient screening methods for potential drug candidates - ‘toxicogenomics’
• genetic tests for drug efficacy - ‘pharmacogenomics’.

What GeneRave does

GeneRave is directed to the production of robust, low dimensional diagnostic signatures, which can be implemented in low cost and stable diagnostic platforms. 

These diagnostic signatures typically outperform high dimensional signatures,are easy both to interpret and to implement.

The GeneRave technology is embodied in a number of patent protected algorithms.

These proprietary algorithms are realised in a rigorously engineered library, proven in multi platform application.

These algorithms have been designed to be scalable to problems with tens of thousands of variables, measured on hundreds of thousands of observations. 

Advantages

The advantages of GeneRave include that it:

• is an add-on library to the statistical software package R
• is a procedure based on rapid variable elimination from a Bayesian model
• leads to the generation of simple diagnostic fingerprints which are easy to use
• is CPU (Central Processing Unit) efficient
• has a low memory footprint.

Access the GeneRAVE Download.