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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 8520480, 10 pages
https://doi.org/10.1155/2017/8520480
Research Article

Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information

1Department of Statistics, Keimyung University, Daegu, Republic of Korea
2The Institute of Natural Science, Keimyung University, Daegu, Republic of Korea
3Department of Statistics, Korea University, Seoul, Republic of Korea
4Graduate School of Information Security, Korea University, Seoul, Republic of Korea
5School of Industrial Management Engineering, Korea University, Seoul, Republic of Korea

Correspondence should be addressed to ByungYong Lee; moc.liamg@101901mor and SungWon Han; rk.ca.aerok@nahws

Received 31 October 2016; Revised 20 February 2017; Accepted 6 March 2017; Published 12 April 2017

Academic Editor: Hongmei Zhang

Copyright © 2017 SungHwan Kim 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.

Supplementary Material

Supplementary Material provides graphical examples of group lasso regulating precision matrices of multiple studies. First, the joint graphical lasso (JGL) is taken to show how to integrate multiple elements across precision matrices. Second, the structured penalty, simulatenously, regulates pathway information.

  1. Supplementary Material