Open Access Highly Accessed Research article

An integrative approach to identifying cancer chemoresistance-associated pathways

Shih-Yi Chao1, Jung-Hsien Chiang2*, A-Mei Huang3* and Woan-Shan Chang2

Author Affiliations

1 Department of Computer Science and Information Engineering, Ching Yun University, No. 229, Jiansing Road, Jhongli City, Taoyuan County 320, Taiwan

2 Department of Computer Science and Information Engineering, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan

3 Department of Biochemistry, Kaoshiung Medical University, Shih-Chuan 1st Road, Kaohsiung, 807, Taiwan

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BMC Medical Genomics 2011, 4:23  doi:10.1186/1755-8794-4-23

Published: 24 March 2011

Additional files

Additional file 1:

Pathway lists. The pathways used in this study are shown in additional file 1.

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Additional file 2:

Representation of the notations used by this work. This additional file demonstrates the notations used in pathway representation.

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Additional file 3:

Significant results following pathway intersections. The main analysis of this experiment focused on whether different cancers have same chemoresistant mechanisms and whether these chemoresistant mechanisms share some genes in common. We demonstrated the concept and the numeric results in this supplementary file.

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Additional file 4:

Pathway intersection results and analysis. We demonstrated another pathway intersection result. In this pathway, the start node and end node are NF-KB and CENTG2, respectively. Several sub-pathways were involved in this experimental result, such as Apoptosis, Focal adhesion, and Jak-STAT signal pathway. More detailed analysis was shown in this file.

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