Junwan Liu;Zhoujun Li;Xiaohua Hu;Yiming Chen;Feifei Liu
BMC GENOMICS,2012年13(03):1-11 ISSN：1471-2164
[Junwan Liu] Cent S Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Hunan, Peoples R China.;[Yiming Chen] Hunan Agr Univ, Sch Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.;[Zhoujun Li] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China.;[Zhoujun Li] Beihang Univ, Beijing Key Lab Network Technol, Beijing 100191, Peoples R China.;[Xiaohua Hu] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
[Hu, XH] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
BACKGROUND: Multi-objective optimization (MOO) involves optimization problems with multiple objectives. Generally, theose objectives is used to estimate very different aspects of the solutions, and these aspects are often in conflict with each other. MOO first gets a Pareto set, and then looks for both commonality and systematic variations across the set. For the large-scale data sets, heuristic search algorithms such as EA combined with MOO techniques are ideal. Newly DNA microarray technology may study the transcriptional response of a complete genome to different experimental conditions and yield a lot of large-scale datasets. Biclustering technique can simultaneously cluster rows and columns of a dataset, and hlep to extract more accurate information from those datasets. Biclustering need optimize several conflicting objectives, and can be solved with MOO methods. As a heuristics-based optimization approach, the particle swarm optimization (PSO) simulate the movements of a bird flock finding food. The shuffled frog-leaping algorithm (SFL) is a population-based cooperative search metaphor combining the benefits of the local search of PSO and the global shuffled of information of the complex evolution technique. SFL is used to solve the optimization problems of the large-scale datasets. RESULTS: This paper integrates dynamic population strategy and shuffled frog-leaping algorithm into biclustering of microarray data, and proposes a novel multi-objective dynamic population shuffled frog-leaping biclustering (MODPSFLB) algorithm to mine maximum bicluesters from microarray data. Experimental results show that the proposed MODPSFLB algorithm can effectively find significant biological structures in terms of related biological processes, components and molecular functions. CONCLUSIONS: The proposed MODPSFLB algorithm has good diversity and fast convergence of Pareto solutions and will become a powerful systematic functional analysis in genome research.
Journal of alternative and complementary medicine (New York, N.Y.),2013年19(6):492-500 ISSN：1075-5535
[Li, Hong-Hao] Hunan Agr Univ, Lib Hunan Agr Univ, Changsha, Hunan, Peoples R China.;[Li, Wei-Wei; Fu, Hong; Wang, Lin-Lin; Wang, Xue-Mei] Peking Univ, Hosp 1, Inst Integrated Chinese & Western Med, Beijing 100034, Peoples R China.;[Guo, Hao] Tianjin Univ Tradit Chinese Med, Minist Educ, Key Lab Pharmacol Tradit Chinese Med Formulae, Tianjin, Peoples R China.
[Wang, XM] Peking Univ, Hosp 1, Inst Integrated Chinese & Western Med, 8 Xishiku St, Beijing 100034, Peoples R China.
PURPOSE: Diabetes mellitus with coronary heart disease (DM with CHD) poses a health challenge to people in China and elsewhere in the world. In Traditional Chinese Medicine (TCM), DM with CHD is classified as a type of disease called Xiaoke and Xiongbi. In Asia, TCM has been used to treat Xiaoke and Xiongbi conditions for centuries, especially in China. In this study, it was evaluated whether integrated strategies incorporating both TCM and Western medicines (iTCWM) could improve the curative efficacy of DM with CHD. METHODS: An extensive search for randomized clinical trials (RCTs) published up to November 2011 in either English or Chinese about iTCWM for DM with CHD was conducted. All listings in PubMed, EMBASE, the Cochrane Library, CBM, CNKI, VIP, and the Wanfang database were included in the literature search. The quality of each trial was assessed using the Cochrane Reviewers' Handbook 5.0. Data analysis was performed by the RevMan 5.0 provided by the Cochrane Collaboration. RESULTS: After an initial selection of 207 articles, 21 RCTs and quasi-RCTs were ultimately included in the analysis for this study. All of these trials were conducted in China and published in Chinese journals. The methodological quality of the trials was low in most studies. Selection bias and measurement bias were common in all of the studies. A meta-analysis was not conducted, due to the poor quality of the available studies. CONCLUSIONS: The current state of the literature regarding the utility of iTCWM for the treatment of DM with CHD is inadequate. The poor quality of the available trials makes it difficult to draw any conclusions regarding the efficacy of iTCWM for the treatment of DM with CHD. This study highlights the paucity of reliable clinical evidence for iTCWM and the need for higher quality RCTs to be conducted in the future.
Yang Guoshun;Shi Xuehui;Liu Kunyu;Xiong Xingyao;Ni Jianjun;Xu Ping;Lu Xianyang
JOURNAL OF HUNAN AGRICULTURAL UNIVERSITY(NATURAL SCIENCES),2005年31(01):106-110 ISSN：1007-1032
[Lu Xianyang] College of Sciences, HNAU;[Xu Ping] Library, HNAU;[Yang Guoshun; Shi Xuehui; Liu Kunyu; Xiong Xingyao; Ni Jianjun] College of Horticultural and Landscape, HNAU
Carotenoids are major pigments of ripening Citrus fruit. Both content and composition of carotenoids affect fruit color and nutritional value. Studies on carotenoid metabolism of Citrus have been done at the molecular level. Based on the outcome of scientific researches reported recently, the method of fruit color measurement, identification and quantification of carotenoids, biosynthetic pathway of carorenoids and expression of carotenoid biosynthetic genes during fruit maturation will be introduced. In addition, future research trends will be discussed.