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BioMed Research International
Volume 2016, Article ID 1358142, 7 pages
http://dx.doi.org/10.1155/2016/1358142
Research Article

Optimization to the Culture Conditions for Phellinus Production with Regression Analysis and Gene-Set Based Genetic Algorithm

1College of Computer and Communication Engineering, China University of Petroleum, Qingdao, Shandong 266580, China
2Center for Bioengineering and Biotechnology, China University of Petroleum, Qingdao, Shandong 266580, China

Received 28 May 2016; Revised 11 July 2016; Accepted 16 July 2016

Academic Editor: Quan Zou

Copyright © 2016 Zhongwei Li 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 [3 citations]

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

  • Yuezhen Xin, Xin Liu, Leiquan Wang, Weishan Zhang, Qinghua Lu, Hu Zhu, Zhongwei Li, and Xuerong Cui, “Optimization to the Phellinus experimental environment based on classification forecasting method,” PLoS ONE, vol. 12, no. 9, 2017. View at Publisher · View at Google Scholar
  • Xun Wang, Beibei Sun, Boyang Liu, Yaping Fu, and Pan Zheng, “A novel method for multifactorial bio-chemical experiments design based on combinational design theory.,” PloS one, vol. 12, no. 11, 2017. View at Publisher · View at Google Scholar
  • Wang, Zhou, Zhao, and Lin, “Optimization of culture conditions for penicilazaphilone C production by a marine-derived fungus Penicillium sclerotiorum M-22,” Letters in Applied Microbiology, vol. 66, no. 3, pp. 222–230, 2018. View at Publisher · View at Google Scholar