Mixed models have typically been used for modelling structural effects in presence of random variations. These type of models can be used rather naturally when we work with microarray data. In this paper, we shall look at two extensions of the usual mixed effect models.
Wit, E., Augugliaro, L. (2009). Mixing modelling ideas for microarray data. In Book of short papers 7° Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (pp.193-196). Padova : CLEUP.
Mixing modelling ideas for microarray data
AUGUGLIARO, Luigi
2009-01-01
Abstract
Mixed models have typically been used for modelling structural effects in presence of random variations. These type of models can be used rather naturally when we work with microarray data. In this paper, we shall look at two extensions of the usual mixed effect models.
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