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Project
Semiparametric mixed models for the analysis of genome wide expression data
The objective is the development of a semiparametric mixed model for stochastic ordening of the response variable. This is basically a non or semiparametric version of the linear mixed models. They will be applied here to the analysis of genome wide expression data from a 10x10 diallel crossing scheme for distinguishing between cis and trans regulation.
Date:1 Jan 2009 → 31 Oct 2013
Keywords:genetics, microarrays, linear mixed models, statistics
Disciplines:Plant biology, Scientific computing, Bioinformatics and computational biology, Statistics and numerical methods, Public health care, Public health services, Applied mathematics in specific fields