Exploratory analysis of cancer SAGE data

  • Martinez, Ricardo
  • Christen, Richard
  • Pasquier, Claude
  • Pasquier, Nicolas
Publication date
October 2005
Publisher
HAL CCSD

Abstract

International audienceUsing several analyse techniques for the hierarchical clustering of a SAGE expression dataset of 822 tags from 74 tissue samples (normal and cancer) we show that cleaning the dataset (tags and experiments) is critical and that attribution of a tag to a gene is not easy. Comparison of cancers from various tissues is a difficult task as tissue samples cluster according to tissue origin and not as cancer or normal

Extracted data

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