GISPA: Gene Integrates Set Profile Analysis
In BhaktiDwivedi/GISPA: GISPA: Method for Gene Integrated Set Profile Analysis

Identifies gene sets with a similar a prior defined profile using any combination of three feature or data types

1	GISPA(feature,f.sets,g.set,ref.samp.idx,comp.samp.idx,f.profiles,cpt.data,cpt.method,cpt.max)

`feature`	: Analysis type i.e., one ('1'), two ('2') or three ('3') dimensional feature analysis.
`f.sets`	: A list of ExpressionSet data objects corrosponding to a data type
`g.set`	: A GeneSet from an ExpressionSet to subset the f.sets for analysis purposes. 'geneIds' should corrospond to the gene names. Default is null, i.e., genome-wide analysis
`ref.samp.idx`	: Reference sample column index on which to determine the gene set profile. The default is 3
`comp.samp.idx`	: The other two relative sample column index against which the profile is being determined. The default is 4 and 5
`f.profiles`	: A vector of the desired direction of genomic change (or profile) corrosponding to each data type. The values are "up" or "down" for increased and decreased gene set profile, respectively
`cpt.data`	: Identify changepoints for data using variance (cpt.var), mean (cpt.mean) or both (meanvar). Default is cpt.var.
`cpt.method`	: Choice of single or multiple changepoint model. Default is "BinSeg".
`cpt.max`	: The maximum number of changepoints to search for using "BinSeg" method. Default is 60. This number is dependent on the number of input data points