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10th International Symposium on Bioinformatics Research and Applications, ISBRA 2014

作者： Sun, Ying Zhou, Chunguang Wang, Jiaxin Cao, Zhongbo Du, Wei Wang, Yan Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun 130012 China Nari Group Corporation State Grid Electric Power Research Institute Nanjing Jiangsu 211000 China

ISBN: (纸本)9783319081700

Using proteins in saliva as biomarkers has great advantage in early diagnosis and prognosis evaluation of health conditions or diseases. In this article, we present a computational method for predicting secreted proteins in human saliva. Firstly, we collected currently known saliva-secreted proteins and the representatives that deem to be not extracellular secretion into saliva. Secondly, we pruned the negative data concerned the imbalance condition, and then extracted the relevant features from the physicochemical and sequence properties of all remained proteins. After that, a support vector machine classifier was built which got performance of average sensitivity, specificity, precision, accuracy and Matthews correlation coefficient value to 80.67%, 90.56%, 90.09%, 85.53% and 0.7168, respectively. These results indicated that the selected features and the model are effective. Finally, a screening test was implemented to all human proteins in UniProt and acquired 5811 proteins as predicted saliva-secreted proteins which may be used as biomarker candidates for further salivary diagnosis. © 2014 Springer International Publishing Switzerland.

关键词： Biomarkers

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Dynamic biometric identification from multiple views using the GLBP-TOP method

Dynamic biometric identification from multiple views using t...

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作者： Wang, Yu Shen, Xuanjing Chen, Haipeng Zhai, Yujie College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin130012 China Applied Technology College Jilin University Changchun130012 China

To realize effective and rapid dynamic biometric identification with low computational complexity, a video-based facial texture program that extracts local binary patterns from three orthogonal planes in the frequency domain of the Gabor transform (GLBP-TOP) was proposed. Firstly, each normalized face was transformed by Gabor wavelet to get the enhanced Gabor magnitude map, and then the LBP-TOP operator was applied to the maps to extract video texture. Finally, weighted Chi square statistics based on the Fisher Criterion were used to realize the identification. The proposed algorithm was proved effective through the biometric experiments using the Honda/UCSD database, and was robust against changes of illumination and expressions. © 2014 - IOS Press and the authors.

关键词： Local binary pattern

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The 2nd International Conference on Agricultural and Biological Sciences (ABS 2016)

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BMC Plant Biology 2016年第2期16卷 83-88页

作者： Lei Pei Zhenhua Wang Jinzhu Zhang Wenhao Li Adeline S. Y. Ting Yiing Y. Chow Sadequr Rahman Rongchang Wei Zhang Hu Sidong Li Chuyan Li Zijuan Li Guoxia Wang Yuzhen Yang Gang Chen Qing Luo Ruixia Liu Lipei Chen Zhiyang Lie Tongtong Zhou Weilong Huang Li Xue Jie Li Zhuomin Wang Ismail Bezirganoglu Pınar Uysal Shuihua Wang Zhihai Lu Jiquan Yang Yudong Zhang John Liu Ling Wei Shufang Chen Preetha Phillips Zhengchao Dong Hong Li Xutong Wang Fengliang Zhao Guisheng Yang Haijie Huang Weijian Huang Jinhui Wang Zhongrun Zhang Li Zhao Xiaojuan Li Ning Xu Guofu Zhou Ming Wan Fanyun Meng Jianxiu Li Qi Lin Yichang Chen Koayung Yu Chunpin Chang Zijuan Zhou Peixi Su Rui Shi Tingting Xie Xuelan Liu Yan Zhang Xiangfa Wei Chong Wu Yanlei Yin Lijuan Feng Xuemei Yang Fei Wang Hua Wang Huifa Zhuang Zihui Zhu Hui Wang College of Water & Architectural Engineering Shihezi University Shihezi City 832000 Xinjiang China Key Laboratory of Modern Water-Saving Irrigation Corp Shihezi University Shihezi City 832000 Xinjiang China School of Science Monash University Malaysia Jalan Lagoon Selatan 46150 Bandar Sunway Selangor Malaysia Guangxi Botanical Garden of Medicinal Plants Nanning Guangxi Province 530023 China Department of Chemistry College of Science Guangdong Ocean University Zhanjiang 524088 China School of Life Science Zhengzhou Normal University Zhengzhou 450044 China College of Forestry and Landscape Architecture South China Agricultural University Guangzhou 510642 China Deparment of Molecular Biology and Genetic Erzurum Technical University Erzurum 442 Turkey Ministry of Food Agriculture and Husbandry Eastern Anatolia Agriculture Research Institute Erzurum 442 Turkey Nanjing Normal University Nanjing Jiangsu 210023 China Key laboratory of symbolic computation and knowledge engineering of ministry of education Jilin University Changchun Jilin 130012 China Michigan State University East Lansing MI 48823 USA Shanghai Jiaotong University Shanghai 200030 China University of Electronic Science and Technology of China Chengdu Sichuan 611731 China Shepherd University Shepherdstown WV 25443 USA West Virginia University Morgantown WV 26505 USA New York State Psychiatric Institute New York NY 10032 USA Environment and Plant Protection Institute Chinese Academy of Tropical Agricultural Science Haikou Hainan 571101 China Tropical Crops Genetic Resources Institute CATAS Danzhou 571737 China College of Applied Science and Technology Hainan University Danzhou 571737 China Beijing Area Major Laboratory of Protection and Utilization of Traditional Chinese Medicine Beijing Normal University Beijing 100875 China State Key Laboratory Breeding Base of Dao-di Herbs National Resource Center for Chinese Materia Medica China Academy of Chinese Medical Science

01 The influence of soil salt content on the photosynthetic characteristics of spring wheat with trickle irrigationLei Pei, Zhenhua Wang, Jinzhu Zhang, Wenhao Li02 Comparing growth of fast-growing and slow-growing end... 详细信息

01 The influence of soil salt content on the photosynthetic characteristics of spring wheat with trickle irrigation

Lei Pei, Zhenhua Wang, Jinzhu Zhang, Wenhao Li

02 Comparing growth of fast-growing and slow-growing endophytes in plants via ergosterol quantification

Adeline SY Ting, Yiing Y Chow, Sadequr Rahman

03 Transcriptome and digital gene expression analysis identifies putative triterpene saponin-biosynthetic genes of Panax notoginseng

Rongchang Wei

04 Chitosan-assisted isolation and antioxidant evaluation of flavonoids from Sophora japonica L.

Zhang Hu, Sidong Li, Chuyan Li, Zijuan Li

05 Two kinds of new characteristics of the ektexine ornamentation of ginkgo pollen

Guoxia Wang, Yuzhen Yang, Gang Chen, Qing Luo

06 Analysis of nutrient and medicinal ingredients of Ginkgo pollen in different regions

Guoxia Wang, Ruixia Liu, Yuzhen Yang, Lipei Chen

07 Photosynthetic performance of greening seedlings of seven species to drought stress

Zhiyang Lie, Tongtong Zhou, Weilong Huang, Li Xue

08 Changes of fluorescence parameters of greening seedlings of seven species under drought stress

Jie Li, Zhuomin Wang, Li Xue

09 Mammalian sex hormone affects regeneration capacity and enzymes activity of Triticale L in vitro culture

Ismail Bezirganoglu, Pınar Uysal

10 Fractional Fourier entropy increases the recognition rate of fruit type detection

Shuihua Wang, Zhihai Lu, Jiquan Yang, Yudong Zhang, John Liu, Ling Wei, Shufang Chen, Preetha Phillips, Zhengchao Dong

11 Banana-peanut intercropping reduces Fusarium wilt disease in banana from enhancing soil bacterial microorganisms and leaf nutrition

Hong Li, Xutong Wang, Fengliang Zhao, Guisheng Yang

12 Manganese stress impairs stem ureide nitrogen fixation in yardlong-bean plants in the acidic environment

Hong Li

13 A new

关键词： Spring Wheat Vanilla Panax Notoginseng Soil Salt Content Digital Gene Expression Analysis

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Approaches to multiple attribute decision making with hesitant interval-valued fuzzy information under correlative environment

Approaches to multiple attribute decision making with hesita...

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作者： Zhu, Jian-Qi Fu, Feng Yin, Ke-Xin Luo, Jia-Qian Wei, Da College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Xi'An Satellite Control Center Xi'an China College of Software Changchun University of Technology Changchun China

In this paper, we investigate the multiple attribute decision making (MADM) problems with hesitant interval-valued fuzzy information. Then, we further develop some new Einstein aggregation operators with hesitant interval-valued fuzzy information, such as the induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator and induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator. Then, we apply the induced hesitant interval-valued fuzzy Einstein correlated averaging (I-HIVFECA) operator and induced hesitant interval-valued fuzzy Einstein correlated geometric (I-HIVFECG) operator to deal with multiple attribute decision making under the hesitant interval-valued fuzzy environments. Finally, an illustrative example for evaluating software quality is given to verify the developed approach and to demonstrate its practicality and effectiveness. © 2014-IOS Press and the authors. All rights reserved.

关键词： Geometry

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Improve the quality of XML clustering by boosting theory

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Journal of computational Information Systems 2013年第11期9卷 4247-4254页

作者： Liu, Zhaojun Li, Xiongfei Li, Wei Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education Jilin University Changchun 130012 China

XML documents cluster analysis is a hot research topic. Researchers proposed a number of methods to cluster XML document collections. Boosting is successful well-known methods for improving the quality of clustering. This paper proposed a method named ICBQ which improve the clustering quality by boosting theory. The experiment runs on the both real dataset and synthetic dataset, we choose the Nierman's method, Dalamagas's method and Flesca's method to evaluate the ability of ICBQ. The experimental result shows that our approach is more precise than no boosting methods. © 2013 by Binary Information Press.

关键词： XML

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Applying functional dependencies to improve the performance and robustness of hidden naive bayes

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Journal of computational Information Systems 2013年第19期9卷 7967-7974页

作者： Qin, Shidong Wang, Limin Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

Hidden Naive Bayes (HNB) has demonstrated remarkable progress in classification accuracy, accurate class probability estimation and ranking. Since HNB is based on one-dependence estimators to get the approximate value of conditional probability, in this paper we try to get more accurate approximations of Bayesian classifier by applying the data dependence theory of relational database. Originally HNB uses a hidden parent of an attribute to represent the influences of all other attributes, while the influence is directed in the Bayesian network. In this paper, we proposed to use the chain rule to estimate the influence among attributes. Compared to HNB, experimental results show that our algorithm has both advantages in classification accuracy and ranking performance which is measured by the area under the ROC curve (AUC). © 2013 Binary Information Press.

关键词： Bayesian networks

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An approach of VM image customized through Linux from scratch on cloud platform

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Computer Modelling and New Technologies 2014年第4期18卷 62-67页

作者： Xu, Gaochao Dong, Yushuang Sun, Bingyi Fu, Xiaodong Zhao, Jia Department of Computer Science and Technology JiLin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

The cloud platform provides abundant resources and services for users. More and more mobile users began to use the cloud services. They have higher real-time demands on service. The size of traditional virtual machine (VM) operating system is basically large. It will take many resources in deployment and communication process, and always affect the real-time performance of system. To reduce communication overhead and improve deployment speed of VMs, this paper proposes an approach of customized VM image with LFS. LFS can reduce the size of VM image efficiently and enable flexible customization of the VM image by incremental customization. The experimental results show us that the size of VM image generated by the proposed method is smaller than the one generated by kernel tailoring technology in system overhead. Meanwhile it is also faster in running speed.

关键词： Virtual machine

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A Modified Particle Swarm Optimization Algorithm for Reliability Redundancy Optimization Problem

A Modified Particle Swarm Optimization Algorithm for Reliabi...

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The 6th International Conference on Computer Research and Development

作者： Yubao Liu Guihe Qin College of Computer Science and Technology Jilin University College of Computer Science and Technology Changchun University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University

In this paper, a modified particle swarm optimization(MPSO) algorithm is proposed to solve the reliability redundancy optimization problem. This algorithm modifies the strategy of generating new position of particles. For each generation solution, the flight velocity of particles is removed. Whereas the new position of each particle is generated by using difference strategy. Moreover, an adaptive parameter is used to ensure diversity of feasible solutions. Experimental results on four benchmark problems demonstrate that the proposed MPSO has better robustness, effectiveness and efficiency than other algorithms reported in literatures for solving the reliability redundancy optimization problem.

关键词： nonlinear programming PSO reliability optimization redundancy allocation adaptive mechanism

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Improved filter feature selection methods by samples localization

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Journal of Bionanoscience 2013年第4期7卷 371-377页

作者： Sun, Ying Wang, Yan Chen, Liang Du, Wei Cao, Zhongbo Zhou, You College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China College of Chemistry Jilin University Changchun 130012 China

With the development of high-throughput microarray technology, a large number of microarray data has been obtained by tens of thousands of simulation experiments on gene expression. However, due to the high cost, gene expression data of each experiment has a small number of samples for tens of thousands of genes. Furthermore, most of the genes, such as the features, are unrelated to classification. Therefore, developing an effective and robust method to extract informative genes subset from high dimensional microarray data is a challenging and important issue for microarray data analysis. In this article, we propose an improved feature selection method by samples localization. We only use localized samples to select genes subset, in order to effectively overcome the influence on the results of feature selection by outlier samples and the distribution of samples. Experimental results obtained by SVM classifiers on Leukemia dataset, Prostate dataset, Colon dataset, Breast dataset, DLBCL dataset and Lung dataset demonstrate that the proposed method is superior to those original filter feature selection methods both in best and average accuracies. Copyright © 2013 American Scientific Publishers. Website © 2013 Publishing Technology.

关键词： Feature Selection

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Making Simple Tabular Reduction works on negative table constraints

Making Simple Tabular Reduction works on negative table cons...

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27th AAAI Conference on Artificial Intelligence, AAAI 2013

作者： Li, Hongbo Liang, Yanchun Guo, Jinsong Li, Zhanshan Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Jilin University Changchun 130012 China

ISBN: (纸本)9781577356158

Simple Tabular Reduction algorithms (STR) work well to establish Generalized Arc Consistency (GAC) on positive table constraints. However, the existing STR algorithms are useless for negative table constraints. In this work, we propose a novel STR algorithm and its improvement, which work on negative table constraints. Our preliminary experiments are performed on some random instances and a certain benchmark instances. The results show that the new algorithms outperform GAC-valid and the MDD-based GAC algorithm. Copyright © 2013, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Benchmarking

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