Mixed Model framework for GeneArray analysis

An excellent recent article caught my attention that solves in a unified manner a class of gene array analysis problems using the work horse methodology of statistical Mixed Models. The approach taken is presented for a two group time course experiment. Extension to more complex experimental designs is discussed. A comparison is made to several competing approaches, including a simulation study, and the featured method is implemented in SAS software. However, any statistical package supporting Spectral Decomposition and Mixed Models may be used.

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