Last data update: 2014.03.03

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GeneExpressionSignature (Package: GeneExpressionSignature) : Introduction to the GeneExpressionSignature Package

The GeneExpressionSignature add-on is an implementation of computing distances among preprocessed gene-expression profiles of samples for R. The distances can be used to detect similarities among the signatures of drugs, diseases, and biological states of interest, and construct connectivity map.
● Data Source: BioConductor
● Keywords:
● Alias: GeneExpressionSignature
● 0 images

RankMerging (Package: GeneExpressionSignature) :

Merging the assay data according to phenotypic data of the input ExpressionSet. Each group of the ranked lists with the same phenotypic data is aggregated into a single list, return it as an ExpressionSet object.
● Data Source: BioConductor
● Keywords:
● Alias: RankMerging
● 0 images

ScoreGSEA (Package: GeneExpressionSignature) :

Compute pairwise distances between sample according to their (Prototype Ranked List) PRL, a N x N distance matrix is generated by calling this function, N is the length of PRL.
● Data Source: BioConductor
● Keywords:
● Alias: ScoreGSEA
● 0 images

ScorePGSEA (Package: GeneExpressionSignature) :

Compute pairwise distances between sample according to their (Prototype Ranked List) PRL, get a N x N distance matrix is generated by calling this function , N is the length of PRL.
● Data Source: BioConductor
● Keywords:
● Alias: ScorePGSEA
● 0 images

SignatureDistance (Package: GeneExpressionSignature) :

This function integrated the function for rank merging and distance scoring, we can do the rank merging and distance scoring simply with it.
● Data Source: BioConductor
● Keywords:
● Alias: SignatureDistance
● 0 images

getRLs (Package: GeneExpressionSignature) :

Sorting the microarray probe-set identifiers according to the differential expression values with respect to the untreated hybridization to obtaine a ranked list. Gene-expression profiles in are represented in a nonparametric fashion.
● Data Source: BioConductor
● Keywords:
● Alias: getRLs
● 0 images