Quantitative comparison of microarray experiments with published leukemia related gene expression signatures |
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| Authors: | Hans-Ulrich Klein Christian Ruckert Alexander Kohlmann Lars Bullinger Christian Thiede Torsten Haferlach and Martin Dugas |
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| Institution: | (1) Department of Medical Informatics and Biomathematics, University of M?nster, Domagkstra?e 9, 48149 M?nster, Germany;(2) Munich Leukemia Laboratory, , Max-Lebsche-Platz 31, 81377 M?nchen, Germany;(3) Internal Medicine III, University of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany;(4) Medical Clinic I, University Hospital Dresden, Fetscherstra?e 74, 01307 Dresden, Germany |
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| Abstract: | Background Multiple gene expression signatures derived from microarray experiments have been published in the field of leukemia research.
A comparison of these signatures with results from new experiments is useful for verification as well as for interpretation
of the results obtained. Currently, the percentage of overlapping genes is frequently used to compare published gene signatures
against a signature derived from a new experiment. However, it has been shown that the percentage of overlapping genes is
of limited use for comparing two experiments due to the variability of gene signatures caused by different array platforms
or assay-specific influencing parameters. Here, we present a robust approach for a systematic and quantitative comparison
of published gene expression signatures with an exemplary query dataset. |
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