Discriminant analysis

Discriminant analysis (57) and its derivatives are approaches for optimally partitioning a space of expression profiles into subsets that are highly predictive of the phenotype of interest, for example by maximizing the ratio of between-classes variance to within-class variance. Ripley (7) and Everitt (21) give details, while Hastie et al. (58) discusses flexible extensions of discriminant analysis (FDA) and Li and Yang (59) provides a discussion of discriminant analysis in the context of gene expression array data.

0 0

Post a comment