Journal
BRITISH JOURNAL OF CANCER
Volume 98, Issue 6, Pages 1023-1028Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/sj.bjc.6604207
Keywords
microarray; gene expression profiling; high dimensionality; data modelling and analysis
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Funding
- NCI NIH HHS [R33 CA109872, CA096483, R01 CA096483, R21 CA109872, CA109872] Funding Source: Medline
- NIBIB NIH HHS [R33 EB000830, EB000830, R21 EB000830] Funding Source: Medline
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This review provides a focused summary of the implications of high- dimensional data spaces produced by gene expression microarrays for building better models of cancer diagnosis, prognosis, and therapeutics. We identify the unique challenges posed by high dimensionality to highlight methodological problems and discuss recent methods in predictive classification, unsupervised subclass discovery, and marker identification.
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