GS2BC {Envisage} | R Documentation

## Convertor for GeneSpring GSint and Bioconductor ExpressionSet objects

### Description

This function converts GeneSpring Experiment (Interpretation) objects into BioConductor microarray expression objects.

### Usage

      GS2BC(interpretation, what = "nor")

### Arguments

`interpretation` | GeneSpring Experiment Interpretation object.
`what` | For GSload.intBC() only. Indicates what data from the GeneSpring Experiment Interpretation should be used. Valid values for what can be `nor` and `raw`, representing Normalized or Raw expression values. The control values cannot be used.

### Details

The Envisage package contains methods allowing the use of linear models (LMs) for analysing significantly changing genes in experiments with a variety of sources of variation, be they experimentally controlled variables such as drug treatment or time, or non-controlled sources of confounding variation such as phenotypic or environmental differences. This allows all sources of variation to be considered when analysing for significant differential expression, ensuring resulting genes are biologically relevent to the experimental question.

`GS2BC` is slightly changed from function `GSint2BC` from package GeneSpring, which currently only supports the defunct `exprSet` class of data.

### Author(s)

Sam Robson S.C.Robson@warwick.ac.uk

### References

Robson, S. C., Hunter, E., Bird, H., Turner, H. (2008) Envisage: model-based significance analysis of microarray gene expression data, manuscript in preparation

### See Also

`GSint2BC`

[Package Envisage version 1.0-2 Index]