J Biomed Inform - Mining microarray data to predict the histological grade of a breast cancer.

Tópicos

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Resumo

CKGROUND: The aim of this study was to develop an original method to extract sets of relevant molecular biomarkers (gene sequences) that can be used for class prediction and can be included as prognostic and predictive tools.MATERIALS AND METHODS: The method is based on sequential patterns used as features for class prediction. We applied it to classify breast cancer tumors according to their histological grade.RESULTS: We obtained very good recall and precision for grades 1 and 3 tumors, but, like other authors, our results were less satisfactory for grade 2 tumors.CONCLUSIONS: We demonstrated the interest of sequential patterns for class prediction of microarrays and we now have the material to use them for prognostic and predictive applications.

Resumo Limpo

ckground aim studi develop origin method extract set relev molecular biomark gene sequenc can use class predict can includ prognost predict toolsmateri method method base sequenti pattern use featur class predict appli classifi breast cancer tumor accord histolog graderesult obtain good recal precis grade tumor like author result less satisfactori grade tumorsconclus demonstr interest sequenti pattern class predict microarray now materi use prognost predict applic

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