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International Journal of Plant Genomics
Volume 2012 (2012), Article ID 680634, 12 pages
http://dx.doi.org/10.1155/2012/680634
Research Article

A Bayesian Framework for Functional Mapping through Joint Modeling of Longitudinal and Time-to-Event Data

1Department of Statistics, Temple University, Philadelphia, PA 19122, USA
2Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA
3Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033, USA
4Department of Agronomy, Henan Institute of Science and Technology, Xinxiang 453003, China
5National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Soybean Research Institute, Nanjing Agricultural University, Nanjing 210095, China

Received 20 January 2012; Revised 13 March 2012; Accepted 19 March 2012

Academic Editor: Pierre Sourdille

Copyright © 2012 Kiranmoy Das et al. 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.

How to Cite this Article

Kiranmoy Das, Runze Li, Zhongwen Huang, Junyi Gai, and Rongling Wu, “A Bayesian Framework for Functional Mapping through Joint Modeling of Longitudinal and Time-to-Event Data,” International Journal of Plant Genomics, vol. 2012, Article ID 680634, 12 pages, 2012. doi:10.1155/2012/680634