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Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.

par Abraham, Gad;Kowalczyk, Adam;Loi, Sherene ;Haviv, Izhak;Zobel, Justin
Référence BMC bioinformatics, 11, page (277)
Publication Publié, 2010

Article révisé par les pairs

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Résumé :

Different microarray studies have compiled gene lists for predicting outcomes of a range of treatments and diseases. These have produced gene lists that have little overlap, indicating that the results from any one study are unstable. It has been suggested that the underlying pathways are essentially identical, and that the expression of gene sets, rather than that of individual genes, may be more informative with respect to prognosis and understanding of the underlying biological process.