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Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB)

GPX

Publication ,  Chapter
Jiang, D; Zhang, A; Pei, J
January 1, 2004

Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. Although various clustering methods have been proposed, two tough challenges still remain on how to integrate the users' domain knowledge and how to handle the high connectivity in the data. This chapter proposes an effective approach to analyze the gene expression data. It presents a demonstration of GPX (Gene Pattern eXplorer)—an integrated environment for interactive exploration of coherent expression patterns and co-expressed genes in gene expression data. GPX integrates several novel techniques, including the coherent pattern index graph, a gene annotation panel, and a graphical interface, to adopt users' domain knowledge and support explorative operations in the clustering procedure. The chapter exemplifies the progress of GPX using several real-world gene expression data sets.

Duke Scholars

DOI

Publication Date

January 1, 2004

Start / End Page

1249 / 1252
 

Citation

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Jiang, D., Zhang, A., & Pei, J. (2004). GPX. In Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB) (pp. 1249–1252). https://doi.org/10.1016/B978-012088469-8.50119-4
Jiang, D., A. Zhang, and J. Pei. “GPX.” In Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB), 1249–52, 2004. https://doi.org/10.1016/B978-012088469-8.50119-4.
Jiang D, Zhang A, Pei J. GPX. In: Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB). 2004. p. 1249–52.
Jiang, D., et al. “GPX.” Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB), 2004, pp. 1249–52. Scopus, doi:10.1016/B978-012088469-8.50119-4.
Jiang D, Zhang A, Pei J. GPX. Proceedings 2004 VLDB Conference: The 30th International Conference on Very Large Databases (VLDB). 2004. p. 1249–1252.

DOI

Publication Date

January 1, 2004

Start / End Page

1249 / 1252