constGeneNet: Construct Gene Network Matrix
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 is to convert a gene-gene interaction table to gene network matrix, which is an input of DIGREscore function.
Usage
1
constGeneNet(geneNet)
Arguments
geneNet
a data frame contains gene-gene interaction. See 'geneNetLymph' for example.
Details
Input gene-gene interaction table should have two columns with gene SYMBOL names.
Each raw represents two connected genes. The interaction is regarded as undirected.
Value
a matrix of gene connectivity matrix
Author(s)
Jichen Yang, Sangin Lee, Minzhe Zhang(zenroute.mzhang@gmail.com)
Examples
1
geneNetLymph.mat <- constGeneNet(geneNet = geneNetLymph)
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 is to convert a gene-gene interaction table to gene network matrix, which is an input of DIGREscore function.
Usage
1 | constGeneNet(geneNet)
|
Arguments
geneNet |
a data frame contains gene-gene interaction. See 'geneNetLymph' for example. |
Details
Input gene-gene interaction table should have two columns with gene SYMBOL names. Each raw represents two connected genes. The interaction is regarded as undirected.
Value
a matrix of gene connectivity matrix
Author(s)
Jichen Yang, Sangin Lee, Minzhe Zhang(zenroute.mzhang@gmail.com)
Examples
1 | geneNetLymph.mat <- constGeneNet(geneNet = geneNetLymph)
|
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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