Component plane presentation integrated self‐organizing map for microarray data analysis

We describe a powerful approach, component plane presentation integrated self-organizing map (SOM), for the analysis of microarray data. This approach allows the display of multi-dimensional SOM outputs of microarray data in multiple sample specific presentations, providing distinct advantages in visual inspection of biological significances of genes clustered in each map unit with respect to each RNA sample. Beneficial potentials of the approach are highlighted by processing microarray data from yeast cells as well as human breast malignancies.