Work

Exploratory analysis of cancer SAGE data

Year: 2005

Type: conference-paper

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.

Source: HAL

Authors: Martinez, Ricardo, Christen, Richard, Pasquier, Claude, R., Pasquier, Nicolas

Institution: Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

Language: English

Topic: Gene expression and cancer classification

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2749314343

FWCI: 3.095

Cites: 1

Cited by: 5

Related to: 10