Exploratory analysis of cancer SAGE data

Abstract : Using 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.
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Communication dans un congrès
9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Discovery Challenge, Oct 2005, Porto, Portugal
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https://hal.archives-ouvertes.fr/hal-01154853
Contributeur : Claude Pasquier <>
Soumis le : lundi 25 mai 2015 - 07:46:20
Dernière modification le : mardi 26 mai 2015 - 01:04:20

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  • HAL Id : hal-01154853, version 1

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Ricardo Martinez, Richard Christen, Claude Pasquier, Nicolas Pasquier. Exploratory analysis of cancer SAGE data. 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Discovery Challenge, Oct 2005, Porto, Portugal. <hal-01154853>

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