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This article is part of the supplement: Selected articles from the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) 2011

Open Access Research

A Steiner tree-based method for biomarker discovery and classification in breast cancer metastasis

Md Jamiul Jahid1 and Jianhua Ruan12*

Author Affiliations

1 Department of Computer Science, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA

2 Cancer Therapy and Research Center, The University of Texas Health Science Center, San Antonio, TX 78229, USA

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BMC Genomics 2012, 13(Suppl 6):S8  doi:10.1186/1471-2164-13-S6-S8

Published: 26 October 2012

Additional files

Additional file 1:

This excel file contains the entrez ids of the Steiner tree-based markers (STMs) selected by this approach for van de Vijver and Wang datasets using Chuang and PINA PPI networks. Besides this, differentially expressed (DE) genes for the two datasets are also given.

Format: XLS Size: 99KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 2:

This pdf file contain the figure of enrichment of STMs and DEs. Enriched biological processes and pathways of STMs and DE genes for van de Vijver and Wang datasets for PINA PPI network is shown here.

Format: PDF Size: 8KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data