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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 891761, 10 pages
Research Article

Dynamic Regulatory Network Reconstruction for Alzheimer’s Disease Based on Matrix Decomposition Techniques

1Information Engineering College, Shanghai Maritime University, Shanghai 201306, China
2DNJ Pharma and Rowan University, NJ 08028, USA
3Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received 18 January 2014; Revised 19 May 2014; Accepted 26 May 2014; Published 15 June 2014

Academic Editor: Volkhard Helms

Copyright © 2014 Wei Kong 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.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • J.S. Dussaut, C.A. Gallo, F. Cravero, M.J. Martínez, J.A. Carballido, and I. Ponzoni, “GeRNet: A Gene Regulatory Network Tool,” Biosystems, 2017. View at Publisher · View at Google Scholar
  • Wei Kong, Jin Deng, Benteng Di, Ruxing Zhong, Shuaiqun Wang, Weiming Zeng, Xiaoyang Mou, and Yang Yang, “Differences of immune disorders between Alzheimer’s disease and breast cancer based on transcriptional regulation,” PLoS ONE, vol. 12, no. 7, 2017. View at Publisher · View at Google Scholar
  • Xiaoyang Mou, Jin Deng, Shuaiqun Wang, Wei Kong, Benteng Di, and Ruxing Zhong, “Dysregulated pathway identification of Alzheimer’s disease based on internal correlation analysis of genes and pathways,” Combinatorial Chemistry and High Throughput Screening, vol. 20, no. 10, pp. 896–904, 2017. View at Publisher · View at Google Scholar
  • Mubashir Hassan, Hussain Raza, Muhammad Athar Abbasi, Ahmed A. Moustafa, and Sung-Yum Seo, “The exploration of novel Alzheimer’s therapeutic agents from the pool of FDA approved medicines using drug repositioning, enzyme inhibition and kinetic mechanism approaches,” Biomedicine & Pharmacotherapy, vol. 109, pp. 2513–2526, 2019. View at Publisher · View at Google Scholar