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In Silico biology - data mining for a better understanding of cancers
David Venet, David Weiss
IRIDIA and IRIBHM
Universite Libre de Bruxelles
davenet@ulb.ac.be

Abstract

Biological research has recently entered the industrial age: data are being generated on a very large scale, as for instance genome sequence and gene expression data. This has lead to a situation where data analysis, not data generation, is the main bottleneck. In Silico biology is concerned with the generation and testing of biological hypotheses using computational means. We will start the seminar by presenting the types of data available. We will then show some applications, in particular in the field of cancer prognosis. Finally, a technique to assess the quality of gene expression data will be briefly presented.

Keywords

Bioinformatics, Cancer, Data mining