Gene expression profiling predicts a three-gene expression signature of endometrial adenocarcinoma in a rat model

doi:10.1186/1475-2867-9-12

Cancer Cell International

Volume 9

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Gene expression profiling predicts a three-gene expression signature of endometrial adenocarcinoma in a rat model

Sandra Karlsson¹ , Björn Olsson² and Karin Klinga-Levan¹

¹Systems Biology Research Centre Biomedicine,, School of Life Sciences, University of Skövde, Box 408, SE-541 28 Skövde, Sweden

²Bioinformatics, School of Life Sciences, University of Skövde, Box 408, SE-541 28 Skövde, Sweden

author email corresponding author email

Cancer Cell International 2009, 9:12doi:10.1186/1475-2867-9-12


Published:	8 May 2009

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The cross-validated average classification results from the Weka analysis. 16 of the 49 algorithms derived classifiers could determine the most important gene for the classification, and the two genes that were most frequently identified as top genes in the classifiers were Gpx3 (nine classifiers) and Bgn (seven classifiers).

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