[BioC] predict an ordinal response variable from high-throughput gene expression data
john.r.stevens at usu.edu
Fri Oct 16 18:33:37 CEST 2009
The globaltest package can handle binary, multinomial (nominal), and continuous response with very large numbers of predictors. I'm not sure it does ordinal response (with proportional odds), though.
Utah State University
From: bioconductor-bounces at stat.math.ethz.ch [mailto:bioconductor-bounces at stat.math.ethz.ch] On Behalf Of shirley zhang
Sent: Friday, October 16, 2009 9:28 AM
To: Bioconductor Mailing List
Subject: [BioC] predict an ordinal response variable from high-throughput gene expression data
Does anybody know how to predict an ordinal response variable from high-throughput gene expression microarray data sets. I've tried an ordinal logistic regression model by calling "lrm" function from package "Design". However, this ordinal logistic regression can only allow at most 9 X variables.
Bioconductor mailing list
Bioconductor at stat.math.ethz.ch
Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor
More information about the Bioconductor