GS2BC {Envisage} | R Documentation |
This function converts GeneSpring Experiment (Interpretation) objects into BioConductor microarray expression objects.
GS2BC(interpretation, what = "nor")
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. |
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.
Sam Robson S.C.Robson@warwick.ac.uk
Robson, S. C., Hunter, E., Bird, H., Turner, H. (2008) Envisage: model-based significance analysis of microarray gene expression data, manuscript in preparation