Advanced SearchSearch Tips
Applications of Parallel Coordinate Plots for Visualizing Gene Expression Data
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Applications of Parallel Coordinate Plots for Visualizing Gene Expression Data
Park, Mi-Ra; Kwak, Il-Youp; Huh, Myung-Hoe;
  PDF(new window)
Visualization of the gene expression data on a low-dimensional graph is helpful in uncovering biological information contained in the data. In this study, we focus on two modified versions of the parallel coordinate plot. First one is the ePCP(enhanced parallel coordinate plot) which shows "near smooth" connecting curves between axes spaced proportionately to the proximity of re-ordered variables. Second one is APCP(Andrews' type parallel coordinate plot) which is obtained by rotating Andrews' plot that has a form of the parallel coordinate plot. Visualization procdures using ePCP and APCP are given for the lymphoma data case.
Gene expression;lymphoma data;parallel coordinate plot;ePCP;APCP;
 Cited by
Alizadeh, A. A., Eisen, M. B., Davis, R. E., Ma, C., Lossos, I. S., Rosenwald, A., Boldrick, J. C., Sabet, H., Tran, T., Yu, X., Powell, J. I., Yang, L., Marti, G. E., Moore, T., Hudson, J. J., Lu, L., Lewis, D. B., Tibshirani, R., Sherlock, G., Chan, W. C., Greiner, T. C., Weisenburger, D. D., Armitage, J. O., Warnke, R., Levy, R., Wilson, W., Grever, M. R., Byrd, J. C., Bostein, D., Brown, P. O. and Staudt, L. M. (2000). Distinc type of diffuse large b-cell lymphoma identifed by gene expression profiling, Nature, 403, 503-511 crossref(new window)

Andrews, D. F. (1972). Plots of high-demensional data, Biometrics, 28, 125-136 crossref(new window)

Cheng, K. O., Law, N. F., Siu, W. C. and Liew, A. W. (2008). Identification of coherent patterns in gene expression data using and effcient biclustering algorithm and parallele coordinate visualization, BMC Bioinformatics, 9, 1-28 crossref(new window)

Huh, M. H. and Park, D. Y. (2008). Enhancing parallel coordinate plots, Journal of the Korean Statistical Society, 37, 129-133 crossref(new window)

Hurley, C. B. (2004). Clustering visualizations of multidimensional data, Journal of Computational & Graph-ical Statistics, 13, 788-806 crossref(new window)

Inselberg, A. (1985). The plane with parallel coordinates, The Visual Computer, 1, 69-91 crossref(new window)

Kwak, I. Y. and Huh, M. H. (2008). Andrews' plot for extended uses, Communications of the Korean Statistical Society, 15, 87-94

Park, M., Jang, Y. J. and Huh, M. H. (2005). Analysis of gene expression data using PC-SOM, In Proceedings of the 55th Session of International Statistical Institute, 313

Prasad, T. V. and Ahson, S. I. (2006). Visualization of microarray gene expression data, Bioinformation, 1, 141-145 crossref(new window)

Santamaria, R., Theron, R. and Quintales, L. (2008). A visual analytics approach for understanding biclus- tering results from microarray data, BMC Bioinformatics, 9, 1-19 crossref(new window)