Gene-based algorithmic cancer prognosis
作者： Virginie Durbecq , Martine Piccart , Christos Sotiriou , Mauro Delorenzi
DOI:
关键词: Gene 、 Framingham Risk Score 、 Bioinformatics 、 Cancer prognosis 、 Tumor Sample 、 Medicine
摘要: The present invention is related to methods and systems for prognosis determination in tumor samples, by measuring gene expression a sample applying gene-expression grade index (GGI) or relapse score (RS) yield numerical risk score.
ulb.ac.be
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