A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer

Author:

Shi Fan,Leckie Christopher,MacIntyre Geoff,Haviv Izhak,Boussioutas Alex,Kowalczyk Adam

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference19 articles.

1. Boussioutas A: Distinctive Patterns of Gene Expression in Premalignant Gastric Mucosa and Gastric Cancer. Cancer Research 2003, (63):2569–2577.

2. Cheng Y, Church GM: Biclustering of expression data. Proceedings of International Conference on Intelligent Systems for Molecular Biology 2000, 8: 93–103.

3. Madeira SC, Oliveira AL: Biclustering algorithms for biological data analysis: a survey. IEEE/ACM transactions on computational biology and bioinformatics/IEEE, ACM 2004, 1: 24–45. 10.1109/TCBB.2004.2

4. Prelić A, Bleuler S, Zimmermann P, Wille A, Buhlmann P, Gruissem W, Hennig L, Thiele L, Zitzler E: A systematic comparison and evaluation of biclustering methods for gene expression data. Bioinformatics 2006, 22(9):1122–1129. 10.1093/bioinformatics/btl060

5. Tanay A, Sharan R, Shamir R: Discovering statistically significant biclusters in gene expression data. Bioinformatics 2002., 18(Suppl 1):

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