The second assumption is that there are individual genes that can discriminate classes. This is different from the latent factor and partial least squares proposals put forth by other authors (West [6]; Nguyen and Rocke [10]), where linear combinations of all available genes are used to predict the outcome. We seek to develop interpretable models for classification; for this purpose, using individual genes for predictors rather than linear combinations of genes seems reasonable.
