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Open Access Highly Accessed Methodology article

Integrating gene expression and protein-protein interaction network to prioritize cancer-associated genes

Chao Wu12*, Jun Zhu2 and Xuegong Zhang1

Author Affiliations

1 MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084 PR, China

2 Sage Bionetworks, Seattle, Washington, USA

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BMC Bioinformatics 2012, 13:182  doi:10.1186/1471-2105-13-182

Published: 28 July 2012

Additional files

Additional file 1:

Table S1. Stability of the top 10 genes in different methods between breast cancer patient datasets.

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Additional file 2:

Table S2. Stability of the top 25 genes in different methods between breast cancer patient datasets.

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Additional file 3:

Table S3. Stability of the top 50 genes in different methods between breast cancer patient datasets.

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Additional file 4:

Table S4. The top 10 genes of HKR on disease datasets and shuffled disease datasets.

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Additional file 5:

Table S5. Stability of the top 10 genes in different methods between NSCLC patient datasets.

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Additional file 6:

Table S6. Stability of the top 25 genes in different methods between NSCLC patient datasets.

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Additional file 7:

Table S7. Stability of the top 50 genes in different methods between NSCLC patient datasets.

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Additional file 8:

Table S8. Pathways that the top ranking genes of different methods are enriched in in NSCLC patient datasets.

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Additional file 9:

Table S9. Information of the samples used in this paper.

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