Gene expression profiling using micro-arrays is a modern approach for molecular diagnostics. In clinical micro-array studies, researchers aim to predict disease type, survival, or treatment response using gene expression profiles. In this process, they encounter a series of obstacles and pitfalls. This chapter reviews fundamental issues from machine learning and recommends a procedure for the computational aspects of a clinical micro-array study. © 2008 Humana Press, a part of Springer Science+Business Media, LLC.
CITATION STYLE
Lottaz, C., Kostka, D., Markowetz, F., & Spang, R. (2008). Computational diagnostics with gene expression profiles. Methods in Molecular Biology, 453, 281–296. https://doi.org/10.1007/978-1-60327-429-6_15
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