profileGeneExp: Profiling Drug Treated Gene Expression Data
In Minzhe/DIGREsyn: Drug Induced Genomic Residual Effect (DIGRE) model for predicting drug pair synergistic score
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function profile the drug treated gene expression data to prepare the input for DIGREscore function.
Usage
1
profileGeneExp(geneExp)
Arguments
geneExp
a data frame contains the drug treated gene expression data with each column representing
one drug, and each row representing one gene. See 'geneExp.demo' for example.
Details
Gene expression is measured after cell is treated by a single compound (or negative control).
Raw data (micro array or RNA-Seq) should already be log transformed to have proper scale.
This function will average duplicated data with same drug name, and collapse multiple probes to gene level.
Value
a matrix of processed gene expression data.
Author(s)
Jichen Yang, Sangin Lee, Minzhe Zhang(zenroute.mzhang@gmail.com)
Examples
1
geneExpDiff <- profileGeneExp(geneExp = geneExp.demo)
Minzhe/DIGREsyn documentation built on May 7, 2019, 4:58 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This function profile the drug treated gene expression data to prepare the input for DIGREscore function.
Usage
1 | profileGeneExp(geneExp)
|
Arguments
geneExp |
a data frame contains the drug treated gene expression data with each column representing one drug, and each row representing one gene. See 'geneExp.demo' for example. |
Details
Gene expression is measured after cell is treated by a single compound (or negative control). Raw data (micro array or RNA-Seq) should already be log transformed to have proper scale. This function will average duplicated data with same drug name, and collapse multiple probes to gene level.
Value
a matrix of processed gene expression data.
Author(s)
Jichen Yang, Sangin Lee, Minzhe Zhang(zenroute.mzhang@gmail.com)
Examples
1 | geneExpDiff <- profileGeneExp(geneExp = geneExp.demo)
|
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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