compute_WIG: Calculating the weigheted information gain(WIG) of each...
In CityUHK-CompBio/nemTar: A method for singlaing network inference from (epi)genetic aberration profiles
Description
Usage
Arguments
Value
Description
Calculating the weigheted information gain(WIG) of each S-genes
Usage
1
compute_WIG(post_prob, path_affected, num_sgene)
Arguments
post_prob
a list of the probablitiy that an E-gene is affected by an
S-gene with respect to a specific pathway
path_affected
a list of the E-genes that are affected by the S-genes
and are realted to a specific pathway
num_sgene
a numeric of the number of S-genes
Value
a list contains the probability of the uniform distribution before
the nertwork inference, and the WIG profiles of every S-gene,as well as the
WIGs of S-genes
CityUHK-CompBio/nemTar documentation built on March 11, 2021, 6:03 p.m.
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.
Description Usage Arguments Value
Description
Calculating the weigheted information gain(WIG) of each S-genes
Usage
1 | compute_WIG(post_prob, path_affected, num_sgene)
|
Arguments
post_prob |
a list of the probablitiy that an E-gene is affected by an S-gene with respect to a specific pathway |
path_affected |
a list of the E-genes that are affected by the S-genes and are realted to a specific pathway |
num_sgene |
a numeric of the number of S-genes |
Value
a list contains the probability of the uniform distribution before the nertwork inference, and the WIG profiles of every S-gene,as well as the WIGs of S-genes
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.