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| 1 | A survey of web resources and tools for the study of TCM network pharmacology显示文摘Background: Traditional Chinese medicine (TCM) treats diseases in a holistic manner, while TCM formulae are multi-component, multi-target agents at the molecular level. Thus there are many parallels between the key ideas of TCM pharmacology and network pharmacology. These years, TCM network pharmacology has developed as an interdisciplinary of TCM science and network pharmacology, which studies the mechanism of TCM at the molecular level and in the context of biological networks. It provides a new research paradigm that can use modern biomedical science to interpret the mechanism of TCM, which is promising to accelerate the modernization and internationalization of TCM? Results: In this paper we introduce state-of-the-art free data sources, web servers and softwares that can be used in the TCM network pharmacology, including databases of TCM, drug targets and diseases, web servers for the prediction of drug targets, and tools for network and functional analysis. Conclusions: This review could help experimental pharmacologists make better use of the existing data and methods in their study of TCM. | Jing Zhao Jian Yang Saisai Tian Weidong Zhang | 2019 | Frontiers of Electrical and Electronic Engineering in China2019，7，1： | 17 |
| 2 | On modeling and control of a flexible air-breathing hypersonic vehicle based on LPV method显示文摘这篇文章开发 polytopic 变化的线性参数(LPV ) 模型和礼品为灵活呼吸空气的极超音速的车辆(FAHV ) 的非易碎的 H 2 安排获得的控制。首先, FAHV 的 polytopic LPV 模型能被使用 Jacobian linearization 和张肌产品(TP ) 模型转变途径获得,模拟确认说明 polytopic LPV 模型捕获原来的非线性的系统的本地非线性。基于发达 polytopic LPV 模型,第二,一个非易碎的 gainscheduled 控制方法被建议以便减少在控制器实现遇到的脆弱,有线性矩阵不平等( LMI )的一个凸的优化问题限制为设计速度和高度追踪控制器被提出,它保证 H 2 控制性能索引。最后,数字模拟表明了建议途径的有效性。 | Changyin SUN Yiqing HUANG Chengshan QIAN Li WANG | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，1： | 12 |
| 3 | Robust radar automatic target recognition algorithm based on HRRP signature显示文摘自动目标识别(ATR ) 是为现代雷达的重要功能。目标的高分辨率范围侧面(HRRP ) 包含目标结构签名,例如目标尺寸, scatterer 分发,等等,它是为 ATR 的有希望的签名。目标 HRRP 的统计建模是为 HRRP 统计识别的关键阶段,包括模型选择和参数评价。为统计识别算法,测试样品作为训练数据的跟随一样的分发模型,这通常被假定。因为收到的 HRRP 的 signal-to-noise 比率(SNR ) 是目标距离的功能,假设不能在实践被遇见。在这份报纸,我们在场为 HRRP 统计识别的一个柔韧的方法测试 HRRP 的 SNR 什么时候比训练的低,取样。噪音是散布的假定独立 Gaussian,当 HRRP 被概率的主要部件分析(PPCA ) 建模时模型。模仿的实验基于测量数据显示出建议方法的有效性。 | Hongwei LIU Feng CHEN Lan DU Zheng BAO | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，1： | 8 |
| 4 | Predicting enhancer-promoter interaction from genomic sequence with deep neural networks显示文摘Background:In the human genome,distal enhancers are involved in regulating target genes through proximal promoters by forming enhancer-promoter interactions.Although recently developed high-throughput experimental approaches have allowed us to recognize potential enhancer-promoter interactions genome-wide,it is still largely unclear to what extent the sequence-level information encoded in our genome help guide such interactions.Methods:Here we report a new computational method (named 'SPEID') using deep learning models to predict enhancer-promoter interactions based on sequence-based features only,when the locations of putative enhancers and promoters in a particular cell type are given.Results:Our results across six different cell types demonstrate that SPEID is effective in predicting enhancerpromoter interactions as compared to state-of-the-art methods that only use information from a single cell type.As a proof-of-principle,we also applied SPEID to identify somatic non-coding mutations in melanoma samples that may have reduced enhancer-promoter interactions in tumor genomes.Conclusions^ This work demonstrates that deep learning models can help reveal that sequence-based features alone are sufficient to reliably predict enhancer-promoter interactions genome-wide. | Shashank Singh Yang Yang Barnabas Poczos Jian Ma | 2019 | Frontiers of Electrical and Electronic Engineering in China2019，7，2： | 8 |
| 5 | Rough set extensions in incomplete information systems显示文摘All eight possible extended rough set models in incomplete information systems are proposed.By analyzing existing extended models and technical meth-ods of rough set theory,the strategy of model extension is found to be suitable for processing incomplete information systems instead of filling possible values for missing attributes.After analyzing the definitions of existing extended models,a new general extended model is proposed.The new model is a generalization of indiscernibility relations,tolerance relations and non-symmetric similarity relations.Finally,suggestions for further study of rough set theory in incomplete informa-tion systems are put forward. | Guoyin WANG Lihe GUAN Feng HU | 2008 | Frontiers of Electrical and Electronic Engineering in China2008，3，4： | 7 |
| 6 | Underwater map-matching aided inertial navigation system based on multi-geophysical information显示文摘In order to achieve long-term covert precise navigation for an underwater vehicle,the shortcomings of various underwater navigation methods used are analyzed.Given the low navigation precision of underwater mapmatching aided inertial navigation based on singlegeophysical information,a model of an underwater mapmatching aided inertial navigation system based on multigeophysical information(gravity,topography and geomagnetism)is put forward,and the key technologies of map-matching based on multi-geophysical information are analyzed.Iterative closest contour point(ICCP)mapmatching algorithm and data fusion based on Dempster-Shafer(D-S)evidence theory are applied to navigation simulation.Simulation results show that accumulation of errors with increasing of time and distance are restrained and fusion of multi-map-matching is superior to any single-map-matching,which can effectively determine the best match of underwater vehicle position and improve the accuracy of underwater vehicle navigation. | Zhongliang DENG Yuetao GE Weiguo GUAN Ke HAN | 2010 | Frontiers of Electrical and Electronic Engineering in China2010，5，4： | 6 |
| 7 | Population dynamics of cancer cells with cell state conversions显示文摘 | Da Zhou Dingming Wu Zhe Li Minping Qian Michael Q. Zhang | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，3： | 6 |
| 8 | Cis-acting regulatory elements: from random screening to quantitative design显示文摘 | | 2015 | Frontiers of Electrical and Electronic Engineering in China2015，10，3： | 6 |
| 9 | Towards integrated oncogenic marker recognition through mutual information-based statist!cally significant feature extraction: an association rule mining based study on cancer expression and methylation profiles显示文摘 | Saurav Mallik Zhongming Zhao | 2017 | Frontiers of Electrical and Electronic Engineering in China2017，5，4： | 5 |
| 10 | Dynamical network biomarkers for identifying critical transitions and their driving networks of biologic processes显示文摘 | Rui Liu Kazuyuki Aihara Luonan Chen | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，2： | 5 |
| 11 | On essential topics of BYY harmony learning: Current status, challenging issues, and gene analysis applications显示文摘作为一增补[徐 L。前面。Electr。电子。Eng。中国, 2010, 5 (3 ) :281328 ] ,这份报纸构画出在贝叶斯的 Ying-Yang (BYY ) 和谐学习上作的努力的当前的地位,正基因分析应用。在开始,一个鸟眼睛看法与典型学习算法和模型选择标准比较经由 Gaussian 混合被提供。特别地,监督半的学习经由选择一个分级的参数简单地被盖住。然后,关于学习的 BYY 系统设计和 BYY 和谐的必要话题和费力的问题系统地被构画出,与讨论的观点,探讨的另一杨因式分解,和协作越过并且在 Ying-Yang 以内总结了的 Yin-Yang 上的一个现代观点。BYY 系统充当一个统一框架提供无指导,监督,并且都在一明确的表达的监督半的学习,当学习的最好的和谐提供新奇和力量给自动模型选择时。另外,和谐的数学明确的表达功能为测量最近在一个 BYY 系统被考虑被称了为一个统一计划,并且在其它之中用作最好的选择。而且,努力在很多项学习任务被作,包括分析作为学习的一个半窗帘建议了的一个切换模式的因素,为几的框架独立因素分析打字,一个隐藏的 Markov 模型(唔)时间的因素分析为为 piecewise 建模建议了的 gated 静止时间的依赖,并且扩大盖住监督半的学习的二水平的层次 Gaussian 混合物,以及歧管的学习修改了便于自动模型选择。最后,研究被用于基因分析的问题,例如染色体宽的协会,定序分析的 exome,和基因 transcriptional 规定。 | Lei XU | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，1： | 4 |
| 12 | maging genetics -towards discovery neuroscience显示文摘 | Tian Ge Gunter Schumann Jianfeng Feng | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，4： | 4 |
| 13 | Synthetic biology: a new approach to stud bioloaical pattern formation显示文摘 | Chenli Liu Xiongfei Fu Jian-Dong Huang | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，4： | 4 |
| 14 | Modeling and analysis of RNA-seq data: a review from a statistical perspective显示文摘 | | 2018 | Frontiers of Electrical and Electronic Engineering in China2018，6，3： | 4 |
| 15 | An overview on development of miniature unmanned rotorcraft systems显示文摘In this article,we attempt to document a technical overview on modern miniature unmanned rotorcraft systems.We first give a brief review on the historical development of the rotorcraft unmanned aerial vehicles(UAVs),and then move on to present a fairly detailed and general overview on the hardware configuration,software integration,aerodynamic modeling and automatic flight control system involved in constructing the unmanned system.The applications of the emerging technology in the military and civilian domains are also highlighted. | Guowei CAI Ben M.CHEN Tong H.LEE | 2010 | Frontiers of Electrical and Electronic Engineering in China2010，5，1： | 4 |
| 16 | From Phage lambda to human cancer: endogenous molecular-cellular network hypothesis显示文摘 | Gaowei Wang Xiaomei Zhu Leroy Hood Ping Ao | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，1： | 4 |
| 17 | Modeling the specificity of protein-DNA nteractions显示文摘 | Gary D. Stormo | 2013 | Frontiers of Electrical and Electronic Engineering in China2013，8，2： | 4 |
| 18 | Particle Swarm Optimization with Adaptive Mutation显示文摘A new adaptive mutation particle swarm optimizer,which is based on the variance of the population's fitness,is presented in this paper.During the running time,the mutation probability for the current best particle is determined by two factors:the variance of the population's fitness and the current optimal solution.The ability of particle swarm optimization(PSO)algorithm to break away from the local optimum is greatly improved by the mutation.The experimental results show that the new algorithm not only has great advantage of convergence property over genetic algorithm and PSO,but can also avoid the premature convergence problem effectively. | LU Zhen-su HOU Zhi-rong DU Juan | 2006 | Frontiers of Electrical and Electronic Engineering in China2006，1，1： | 4 |
| 19 | Robust non-negative matrix factorization显示文摘Non-negative matrix factorization(NMF)is a recently popularized technique for learning partsbased,linear representations of non-negative data.The traditional NMF is optimized under the Gaussian noise or Poisson noise assumption,and hence not suitable if the data are grossly corrupted.To improve the robustness of NMF,a novel algorithm named robust nonnegative matrix factorization(RNMF)is proposed in this paper.We assume that some entries of the data matrix may be arbitrarily corrupted,but the corruption is sparse.RNMF decomposes the non-negative data matrix as the summation of one sparse error matrix and the product of two non-negative matrices.An efficient iterative approach is developed to solve the optimization problem of RNMF.We present experimental results on two face databases to verify the effectiveness of the proposed method. | Lijun ZHANG Zhengguang CHEN Miao ZHENG Xiaofei HE | 2011 | Frontiers of Electrical and Electronic Engineering in China2011，6，2： | 4 |
| 20 | Boosting and margin theory显示文摘许多研究人员在理论研究了 AdaBoosts 好试验性的结果的解释。一些工作以边缘分发功能给归纳错误的上面的界限,当 Breiman 基于最小的边缘给了更锋利的归纳错误界限时。他也开发了 arcgv 算法最大化最小的边缘,然后使最小的边缘比 AdaBoost 大。然而,它的实验结果比 AdaBoost 甚至更坏。因此,最小的边缘界限是不实际的吗?这份报纸比最小的边缘跳的给一个新概念叫的平衡边缘(Emargin ) 并且证明一个新归纳错误用 Emargin 跳了,它总是好。另外,我们证明 Emargin 是归纳的好指示物。然后,我们进行证明 AdaBoost 的 Emargin 比 arc-gv 大,但是 Ada 增加的归纳错误通常更好的实验。 | Jufu FENG Liwei WANG Masashi SUGIYAMA Cheng YANG Zhi-Hua ZHOU Chicheng ZHANG | 2012 | Frontiers of Electrical and Electronic Engineering in China2012，7，1： | 4 |
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