GSVA_Calculation: GSVA_Calculation is a function for Calculating correlation...
In SIGN: Similarity Identification in Gene Expression
Description
Usage
Arguments
Value
Description
GSVA_Calculation is a function for Calculating correlation between expression
level of pathways between 2 groups using GSVA
Usage
1
2
GSVA_Calculation(ExpMat1, ExpMat2, GeneVec, GeneSets,
Name = "SampleComparison")
Arguments
ExpMat1
Expression matrix of genes in the 1st group of sampls
ExpMat2
Expression matrix of genes in the 2nd group of sampls
GeneVec
Name of genes in the same order as considered in ExpMat1 and ExpMat2
GeneSets
List of genes within pathways
Name
Name used for naming the columns of output matrix of correlation between the 2 groups
Value
Similarity of the pathway between the two expression matrices based on
pearson correlation, bubble sort, and wilcoxon paaired rank test using GSVA enrichment scores of pathways
SIGN documentation built on May 2, 2019, 11:05 a.m.
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Description Usage Arguments Value
Description
GSVA_Calculation is a function for Calculating correlation between expression level of pathways between 2 groups using GSVA
Usage
1 2 | GSVA_Calculation(ExpMat1, ExpMat2, GeneVec, GeneSets,
Name = "SampleComparison")
|
Arguments
ExpMat1 |
Expression matrix of genes in the 1st group of sampls |
ExpMat2 |
Expression matrix of genes in the 2nd group of sampls |
GeneVec |
Name of genes in the same order as considered in ExpMat1 and ExpMat2 |
GeneSets |
List of genes within pathways |
Name |
Name used for naming the columns of output matrix of correlation between the 2 groups |
Value
Similarity of the pathway between the two expression matrices based on pearson correlation, bubble sort, and wilcoxon paaired rank test using GSVA enrichment scores of pathways
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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