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A Coupled Three-Step Network-Based Approach to Identify Genes Associated with Breast Cancer

Authors:
Michael Netzer
Xiaocong Fang
Michael Handler
Christian Baumgartner

Keywords: biomarker discovery; microarray; feature selection; networks; breast cancer

Abstract:
New biomarker candidates for breast cancer recurrence are urgently needed to provide patients an optimal treatment and avoid "overtreatment" where patients needlessly suffer from the toxic side effects of chemotherapy. In this work, we present a new network-based approach to identify biomarker candidates for breast cancer recurrence. Our coupled three-step strategy first selects relevant genes by using a filter approach. In the second step, we infer a new type of network where the number of edges of each vertex (i.e., degree) represents the predictive value of the underlying gene. In the third step, we conduct a database search for biomedical interpretation of our findings. Using a breast cancer microarray dataset we could verify top ranked genes associated with breast cancer and other pathophysiological processes.

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2012

Publication date: March 25, 2012

Published in: conference

ISSN: 2308-4383

ISBN: 978-1-61208-190-8

Location: St. Maarten, The Netherlands Antilles

Dates: from March 25, 2012 to March 30, 2012