Chronic Fatigue Syndrome Research Today is a free monthly online journal that collates and summarizes the latest research about Chronic Fatigue Syndrome, including details on myalgic encephalomyelitis (me), diagnosis, gradual and sudden onset.

Improved prediction of treatment response using microarrays and existing biological knowledge.

Lin SM, Devakumar J, Kibbe WA

Northwestern University, Robert H Lurie Cancer Center, Chicago, IL 60611, USA. S-Lin2@northwestern.edu

A desired application for microarrays in the clinic is to predict treatment response from an often diverse patient population. We present a method for analyzing microarray data that is predicated on biological pathway and function knowledge as opposed to a purely data-driven initial analysis. From an analysis perspective, this methodology takes advantage of information that is available across genes on a single array, as well as differences in those patterns across measurements. By using biological knowledge in the initial analysis, the accuracy and robustness of microarray profile classification is enhanced, especially when low numbers of samples are available. For clinical studies, particularly Phase I or I/II studies, this technique is exceptionally advantageous.

Published 13 April 2006 in Pharmacogenomics, 7(3): 495-501.
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