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group of genes rather than metaGenes.
4 CONCLUSIONS
By systematically filtering complex microarray
datasets, we identified the minimal gene sets able to
discriminate disease states. This is important as any
diagnostic test needs to be cost effective, and testing
small numbers of genes in disease biopsies is much
more cost-effective compared to performing, for
example, genome-wide analyses. While PCA may
be useful in reducing array dimensionality, methods
that isolate identifiable genes are preferred.
Moreover, the identity of critical genes yields insight
into mechanisms of disease pathogenesis. A further
increase in accuracy may be provided by the
inclusion of currently unannotated transcripts, or by
increasing pathway definitions, but at the present
time this is algorithmically complex. Ultimately,
diagnostic gene expression fingerprints must be
rigorously evaluated in prospective analyses, and we
are currently refining our methods to facilitate
discrimination of ever more complex disease types.
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