DNC-MIX
PURPOSE:
Models the distribution of the gene expression profile of a test sample
as a mixture, with each component characterizing the expression levels
in a class,
and assigns a class label to each test sample.
Software (in a zipped, tar file)
Instructions
for DNC-MIX
References:
Alexandridis, R., Lin, S., Irwin, M. (2004) Class discovery and classification
of tumor samples using mixture modeling of gene expression data.
Bioinformatics, 20, 2545-2552.
Lin, S., Alexandridis, R. (2003) Classification of Tissue Samples Using
Mixture Modeling of Microarray Gene Expression Data.
In: Science and Statistics: A Festschrift for Terry Speed.
IMS Lecture Notes - Monograph Series, Volume 40.
Ed: D. R. Goldstein.
Beachwood: IMS. pp 419-435.