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BioMed Research International
Volume 2013 (2013), Article ID 617545, 7 pages
http://dx.doi.org/10.1155/2013/617545
Research Article

Exploring the Cooccurrence Patterns of Multiple Sets of Genomic Intervals

1Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
2Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
3Center for Comprehensive Informative, Emory University, Atlanta, GA, USA

Received 27 March 2013; Accepted 4 May 2013

Academic Editor: Zhongming Zhao

Copyright © 2013 Hao Wu and Zhaohui S. Qin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Figure S1: BIC versus number of clusters in simulation data.

Figure S2: BIC and log-likelihood versus number of clusters in a simulation study. The true number of clusters is 8.

Figure S3: Model fitting results of K562 histone modification data. (a) BIC versus number of clusters. (b) Log-likelihood versus number of clusters. (c) Estimated Q^ represented as heatmap.

  1. Supplementary Figures