listModelGenes: listModelGenes
In Sage-Bionetworks/CMSclassifier: prediction of the Consensus Molecular Subtype (CMS) of colorectal carcinomas based on log2_scaled Gene Expression Profiles (GEP)
Description
Usage
Arguments
Value
Note
Author(s)
Description
genes used in the RF or SSP CMS predictor
Usage
1
listModelGenes(method=c("RF","SSP")[1])
Arguments
method
a character string : either RF (Random Forest predictor) or SSP (Single Sample Predictor)
Value
a vector of character strings : entrez gene ids of the genes used in the RF or SSP predictor (depending on the chosen method)
Note
This is a contribution from the Tumor Identity Cards (CIT) program founded by the 'Ligue Nationale Contre le Cancer' (France): http://cit.ligue-cancer.net. For any question please contact CITR@ligue-cancer.net
Author(s)
Justin Guinney, Rodrigo Dienstmann, Aurelien de Reynies
Sage-Bionetworks/CMSclassifier documentation built on May 9, 2019, 12:10 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 Note Author(s)
Description
genes used in the RF or SSP CMS predictor
Usage
1 | listModelGenes(method=c("RF","SSP")[1])
|
Arguments
method |
a character string : either RF (Random Forest predictor) or SSP (Single Sample Predictor) |
Value
a vector of character strings : entrez gene ids of the genes used in the RF or SSP predictor (depending on the chosen method)
Note
This is a contribution from the Tumor Identity Cards (CIT) program founded by the 'Ligue Nationale Contre le Cancer' (France): http://cit.ligue-cancer.net. For any question please contact CITR@ligue-cancer.net
Author(s)
Justin Guinney, Rodrigo Dienstmann, Aurelien de Reynies
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.