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BioMed Research International
Volume 2018, Article ID 4028473, 6 pages
https://doi.org/10.1155/2018/4028473
Research Article

The Prediction of Drug-Disease Correlation Based on Gene Expression Data

1School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China
2Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
3Shanghai Center for Bioinformation Technology, Shanghai Academy of Science and Technology, Shanghai 201203, China
4College of Food Science and Technology, Shanghai Ocean University, No. 999 Hu Cheng Huan Road, Shanghai 201306, China
5IPQ Analytics, LLC/Strategic Medicine, Philadelphia, PA, USA
6Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 30007, China

Correspondence should be addressed to Ying Yu; nc.ca.sbis@gniyuy and Lu Xie; moc.kooltuo@7102xeixul

Received 11 November 2017; Revised 18 January 2018; Accepted 11 February 2018; Published 25 March 2018

Academic Editor: Jialiang Yang

Copyright © 2018 Hui Cui 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 [2 citations]

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

  • Sheng-I Chen, and Chia-Chien Hsieh, “Chemoprevention by means of soy proteins and peptides - current status and future approaches: a review,” International Journal of Food Science & Technology, 2018. View at Publisher · View at Google Scholar
  • Minhui Wang, Chang Tang, and Jiajia Chen, “Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Matrix Completion,” BioMed Research International, vol. 2018, pp. 1–12, 2018. View at Publisher · View at Google Scholar