Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


German Conference on Bioinformatics 2005 (GCB 2005), 5.-7. October 2005, Hamburg, Germany P-71, 93-102 (2005).


2005


Editors

Andrew Torda, Stefan Kurtz, Matthias Rarey (eds.)


Contents

Exploiting scale-free information from expression data for cancer classification

Alexey V. Antonov , Igor V. Tetko , Denis Kosykh , Dmitrij Surmeli and Hans-Wernermewes

Abstract


In most studies concerning expression data analyses information on the variability of gene intensity across samples is usually exploited. This information is sensitive to initial data processing which affects the final conclusions. However expression data contains scale free information which is directly comparable between different samples. We propose to use the pairwise ratio of gene expression


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ISBN 3-88579-400-4


Last changed 24.01.2012 21:51:54