检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

853 篇 会议
26 篇 期刊文献
2 册 图书

馆藏范围

881 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

299 篇 工学
- 211 篇 计算机科学与技术...
- 121 篇 生物工程
- 112 篇 软件工程
- 74 篇 生物医学工程（可授...
- 65 篇 电气工程
- 37 篇 信息与通信工程
- 32 篇 化学工程与技术
- 31 篇 控制科学与工程
- 13 篇 机械工程
- 11 篇 电子科学与技术（可...
- 9 篇 动力工程及工程热...
- 8 篇 材料科学与工程（可...
- 7 篇 仪器科学与技术
- 5 篇 交通运输工程
195 篇 理学
- 150 篇 生物学
- 75 篇 数学
- 32 篇 统计学（可授理学、...
- 30 篇 化学
- 25 篇 系统科学
- 17 篇 物理学
51 篇 管理学
- 30 篇 管理科学与工程(可...
- 24 篇 图书情报与档案管...
- 13 篇 工商管理
40 篇 医学
- 29 篇 基础医学(可授医学...
- 24 篇 临床医学
- 17 篇 药学(可授医学、理...
- 7 篇 公共卫生与预防医...
33 篇 农学
- 28 篇 作物学
6 篇 法学
- 6 篇 社会学
4 篇 经济学
- 4 篇 应用经济学
3 篇 文学
1 篇 哲学
1 篇 教育学

主题

590 篇 bioinformatics
289 篇 genomics
138 篇 proteins
86 篇 biological syste...
83 篇 biology computin...
82 篇 sequences
74 篇 dna
72 篇 databases
65 篇 computational mo...
62 篇 computational bi...
62 篇 gene expression
61 篇 computer science
56 篇 diseases
51 篇 humans
49 篇 genetics
46 篇 data mining
42 篇 organisms
42 篇 testing
35 篇 laboratories
34 篇 rna

机构

4 篇 university of ca...
4 篇 ieee
4 篇 tianjin institut...
4 篇 drexel univ phil...
3 篇 school of comput...
3 篇 department of el...
3 篇 california insti...
3 篇 department of co...
3 篇 pacific northwes...
2 篇 aes-tietê
2 篇 univ brasilia de...
2 篇 fudan univ sch c...
2 篇 pacific nw natl ...
2 篇 department of em...
2 篇 scylla bioinform...
2 篇 institute of com...
2 篇 department of co...
2 篇 scripps institut...
2 篇 university of de...
2 篇 mechanical engin...

作者

9 篇 v. olman
9 篇 ying xu
6 篇 tatsuya akutsu
6 篇 h. ali
5 篇 fdez-riverola fl...
5 篇 zhengchang su
4 篇 morihiro hayashi...
4 篇 y. xu
4 篇 hu xiaohua
4 篇 soda paolo
4 篇 kim sun
4 篇 atanassov krassi...
4 篇 sicilia rosa
3 篇 z. su
3 篇 zeyad mohammad
3 篇 m. baba
3 篇 p. dam
3 篇 h. peng
3 篇 x. chen
3 篇 cordelli ermanno

语言

871 篇 英文
8 篇 其他
2 篇 中文

检索条件"任意字段=IEEE Computational Systems Bioinformatics Conference"

共 881 条记录，以下是481-490 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Transmission network expansion planning with a hybrid meta-heuristic method of parallel tabu search and ordinal optimization

Transmission network expansion planning with a hybrid meta-h...

引用

2007 International conference on Intelligent systems Applications to Power systems, ISAP

作者： Mori, Hiroyuki Iimura, Yoshinori IEEE Dept. of Electronics and Bioinformatics Meiji University 1-1-1 Higashimita Tama-ku Kawasaki 214-8571 Japan

ISBN: (纸本)9860130868

This paper proposes a hybrid meta-heuristic method of parallel tabu search (PTS) and ordinal optimization (OO) for transmission network expansion planning in power systems. It determines the optimal structure that keeps the balance between generations and loads. The formulation is expressed as a combinatorial optimization problem that is very hard to solve. PTS is one of meta-heuristics that is useful for solving a combinatorial optimization. To speed up computational time of PTS, OO is used to reduce the number of solution candidates in a probabilistic way. The proposed method with OO-TS is successfully applied to a sample system.

关键词： Combinatorial optimization

来源：评论

学校读者我要写书评

暂无评论

Intrinsically disordered proteins: An update

Intrinsically disordered proteins: An update

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Dunker, A. Keith Oldfield, Christopher J. Meng, Jingwei Romero, Pedro Yang, Jack Y. Obradovic, Zoran Uversky, Vladimir N. Center for Computational Biology and Bioinformatics Indiana University Schools of Medicine and Informatics Indianapolis IN 46202 United States Center for Computational Biology and Bioinformatics Indiana University School of Informatics Indianapolis IN 46202 United States Department of Biochemistry and Molecular Biology Indiana University School of Medicine Indianapolis IN 46202 United States Department of Radiation Oncology Harvard Medical School Massachusetts General Hospital Boston MA 02114 United States Center for Information Science and Technology Temple University Philadelphia PA 19122 United States Center for Computational Biology and Bioinformatics Indiana University School of Medicine Indianapolis IN 46202 United States Institute for Biological Instrumentation Russian Academy of Sciences 142290 Puschino Russia

ISBN: (纸本)1424415098

Just over 10 years ago, in June, 1997, in the Proceedings of the ieee International conference on Neural Networks, we published our first predictor of intrinsically disordered protein [1]. Since then, we have substantially improved our predictors, and more than 20 other laboratory groups have joined in efforts to improve the prediction of protein disorder. At the algorithmic level, prediction of protein intrinsic disorder is similar to the prediction of secondary structure, but, at the structural level, secondary structure and intrinsic disorder are entirely different. The secondary structure class called random coil or irregular differs from intrinsic disorder due to very different dynamic properties, with the secondary structure class being much less mobile than the region of disorder. At the biological level, unlike the prediction of secondary structure, the prediction of intrinsic disorder has been revolutionary. That is, for many years, experimentalists have provided evidence that some proteins lack fixed structure or are disordered (or unfolded) under physiological conditions. Experimentalists further are showing that, for some proteins, functions depended on the unstructured rather than structured state. However, these examples have been mostly ignored. To our knowledge, not one disordered protein or disorder-associated function is discussed in any biochemistry textbook, even though such examples began to be discovered more than 50 years ago. Disorder prediction has been important for showing that the few experimentally characterized examples represent a very large cohort that is found all across all three domains of life. We now know that many significant biological functions depend directly on, or are importantly associated with, the unfolded or partially folded state. In this paper, we will briefly review some of the key discoveries that have occurred in the last decade, and, furthermore, will make a few highly speculative projections. ©2007 ieee.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

A novel sequence-structure approach for accurate prediction of resistance to HIV-1 protease inhibitors

A novel sequence-structure approach for accurate prediction ...

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Masso, Majid Vaisman, Iosif I. Laboratory for Structural Bioinformatics George Mason University Manassas VA United States

ISBN: (纸本)1424415098

Phenotypic tests are useful for measuring the degree of resistance of HIV-1 protease mutants to commercially available inhibitors. However, these tests are expensive and time-consuming, and phenotyping has been performed on only a fraction of the nearly 400 distinct patient-derived protease mutants. We employed a computational mutagenesis methodology, incorporating both sequence and structure information, to generate a feature vector representation for each of the isolated protease mutants. Training sets were preparedfor seven protease inhibitors, each consisting of protease mutants with known phenotypes. Four machine-learning algorithms were implemented, and random forest performed best at distinguishing between sensitive/resistant mutants based on area under the ROC curve (0.81 - 0.92). Trained models were used to make predictions about recently assayed protease mutants and displayed 83% agreement with the experimental data. The results suggest that susceptibility of unassayed protease mutants to each inhibitor can be reliably predicted. ©2007 ieee.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Profilins, formins and katanins as flagellar proteins of Leishmania spp.: A genome-based, multi-step bioinformatics-driven description

Profilins, formins and katanins as flagellar proteins of Lei...

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Vasconcelos, Elton J. R. Pacheco, Ana C. L. Gouveia, João J. S. Araújo, Fabiana F. Diniz, Michely C. Kamimura, Michel T. Costa, Marcília P. Maggioni, Rodrigo Araújo-Filho, Raimundo Costa, Raimundo B. De Oliveira, Diana Magalhães Núcleo Tarcísio Pimenta de Pesquisa Genômica e Bioinformáitica - NUGEN Universidade Estadual do Ceará - UECE Fortaleza Ceará Brazil

ISBN: (纸本)1424415098

Flagellum plays a key role in Leishmania motility and sensory reception, and it is essential for parasite migration, invasion and persistence on host tissues. In search for genomic and/or proteomic evidences of flagellar genes/proteins in Leishmania spp., we have used available databases and computational biology tools to predict and distinguish putative flagellar proteins that are either actin-, tubulin-, axoneme- or microtubule-related sequences and, also, probable virulence factors. Here we present results of sequence and structural analyses of profilins, formins and katanins as possible flagellar proteins of Leishmania spp., whose sequences were in silico selected for predicting viable roles on flagellum assembly, disassembly and dynamics in terms of intraflagellar mechanisms. Taken together, our results provide the filrst integrated bioinformatics analyses of Leishmania profilin, katanin and formin genes and their gene products to contribute to a more detailed annotation of these important actin-related proteins not yet properly characterized in flagellate trypanosomatids or in their flagellar activities towards virulence. ©2007 ieee.

关键词： bioinformatics

来源：评论

学校读者我要写书评

暂无评论

Hot and cold: Spatial fluctuation in HIV-1 recombination rates

Hot and cold: Spatial fluctuation in HIV-1 recombination rat...

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Rajaram, M.L. Minin, V.N. Suchard, M.A. Dorman, K.S. Bioinformatics and Computational Biology Program Iowa State University Ames IA 50011 United States Department of Statistics University of Washington Seattle WA 98195 United States Departments of Biomathematics Human Genetics and Biostatistics University of California Los Angeles Los Angeles CA 90095 United States Departments of Statistics and Genetics Development and Cell Biology Iowa State University Ames IA 50011 United States

ISBN: (纸本)1424415098

Coinfection of a single cell with two or more HIV strains may produce recombinant viruses upon template switching by the replication machinery. We applied a hierarchical multiple change point model to simultaneously infer inter-subtype recombination breakpoints and spatial variation in the recombination rate along the HIV-1 genome. We examined thousands of publicly available HIV-1 sequences representing the worldwide epidemic and focused on 544 unique recombinants with 1, 701 recombination breakpoints. Estimates of per site recombination rate revealed the presence of a novel hotspot in the pol gene, surrounded by a cluster of mutations associated with resistance to reverse transcriptase inhibitors. We also confirm the presence of a known hotspot in the env gene and a previously hypothesized hotspot in the gag gene. ©2007 ieee.

关键词： Genes

来源：评论

学校读者我要写书评

暂无评论

Finding cancer-related gene combinations using a molecular evolutionary algorithm

Finding cancer-related gene combinations using a molecular e...

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Park, Chan-Hoon Kim, Soo-Jin Kim, Sun Cho, Dong-Yeon Zhang, Byoung-Tak School of Computer Science and Engineering Seoul National University Seoul 151-742 Korea Republic of Graduate Program in Bioinformatics Seoul National University Seoul 151-742 Korea Republic of

ISBN: (纸本)1424415098

High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. computational methods boost the microarray analysis by managing large and complex data systematically. However, combinatorial interactions among genes have not been considered as a unit of the analysis since previous methods mainly focus on a whole gene or a single isolated gene. Here, we introduce a molecular evolutionary algorithm called probabilistic library model (PLM). In the PLM, library elements are generated from gene combinations. An evolutionary procedure is adopted to learn the probabilistic distribution of training samples. We apply the PLM to prostate cancer microarray data. The experimental results show that the PLM classifiers perform better than conventional methods such as neural networks and decision trees in accuracy. We also examine the evolved library to find cancer-related gene combinations. ©2007 ieee.

关键词： Microarrays

来源：评论

学校读者我要写书评

暂无评论

Cooperative partitional-divisive clustering and its application in gene expression analysis

Cooperative partitional-divisive clustering and its applicat...

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Kashef, R. Kamel, M.S. Electrical and Computer Engineering Department University of Waterloo Waterloo Canada IEEE

ISBN: (纸本)1424415098

Clustering techniques organize a collection of objects into cohesive groups called clusters such that objects in the same cluster are more similar to each other than objects in different clusters. There are many clustering approaches proposed in the literature with different quality/complexity tradeoffs. Combining multiple clustering is an approach to overcome the deficiency of single algorithms and further enhance their performances. Current approaches to combining multiple clusterings use end-result cooperation (e.g. ensemble clustering and hybrid clustering) between the clustering algorithms. Inherent drawbacks of the end-result cooperation are: the computational complexity of ensemble clustering and the idle wasted time in the hybrid approaches. In this paper, the k-means and the bisecting k-means clustering algorithms are both combined using intermediate-cooperation strategy for the aim of obtaining better clustering solutions than non-cooperative algorithms. Undertaken experimental results show that the quality of the clustering solutions obtained from the Cooperative Partitional-Divisive Clustering (CPDC) model is better than those obtained from the non-cooperative algorithms over a number of gene expression datasets. ©2007 ieee.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Modeling protein interaction network and mechanisms in exocytosis

Modeling protein interaction network and mechanisms in exocy...

引用

7th ieee International conference on bioinformatics and Bioengineering, BIBE

作者： Zhou, Wen Xia, Tian Tong, Jiansong Dickerson, Julie Su, Bo Gu, Xun Department of Mathematics Iowa State University Ames IA 50010 United States Program of Bioinformatics and Computational Biology Iowa State University Ames IA 50010 United States Department of Biochemistry Biophysics and Molecular Biology Iowa State University Ames IA 50010 United States Department of Genetics Development and Cell Biology Iowa State University Ames IA 50010 United States

ISBN: (纸本)1424415098

Exocytosis is an essential process in all eukaryotic cells that allows communication in cells through vesicles which contain a wide range of intracellular molecules such as hormones, matrix proteins and neurotransmitters. Recent studies have shown this process is regulated by molecular interactions among a group of well defined and conserved proteins. To gain insight into the dynamics of these interactions, we use protein interaction network modeling to investigate exocytotic system (particularly in endocrine) computationally and mathematically. The protein interactions are formulated into ordinary differential equations (ODE). We then apply a novel mathematic approach to estimate model parameters from experimental data for SNAREs-only network (with three key proteins), which is a subset of this system. Our approach is able to sense temporal changes in protein concentration and ratios of multiple proteins and precisely reconstruct the dynamical process of exocytosis, including vesicle docking, priming and fusion. Additionally, the model suggests that initial concentration of synaptic proteins plays a crucial role in efficiency of vesicle fusion, based on system stability analysis. ©2007 ieee.

关键词： Proteins

来源：评论

学校读者我要写书评

暂无评论

Evaluating the performance of a biclustering algorithm applied to collaborative filtering - A comparative analysis

Evaluating the performance of a biclustering algorithm appli...

引用

7th International conference on Hybrid Intelligent systems, HIS 2007

作者： De Castro, Pablo A. D. De França, Fabrício O. Ferreira, Hamilton M. Von Zuben, Fernando J. Laboratory of Bioinformatics and Bio-Inspired Computing -LBIC School of Electrical and Computer Engineering - FEEC University of Campinas - UNICAMP Campinas-SP Brazil

ISBN: (纸本)0769529461

Collaborative filtering (CF) is a method to perform automated suggestions for a user based on the opinion of other users with similar interest. Most of the CF algorithms do not take into account the existent duality between users and items, considering only the similarities between users or only the similarities between items. The authors have proposed in a previous work a bio-inspired methodology for CF, namely BIC-aiNet, capable of clustering rows and columns of a data matrix simultaneously. The usefulness and performance of the methodology are reported in the literature. Now, the authors carry out more rigorous comparative experiments with BIC-aiNet and other techniques found in the literature, as well as evaluate the scalability of the algorithm in several datasets of different sizes. The results indicate that our proposal is able to provide useful recommendations for the users, outperforming other methodologies for CF. © 2007 ieee.

关键词： Collaborative filtering

来源：评论

学校读者我要写书评

暂无评论

A multi-objective genetic algorithm for discovering non-dominated motifs in DNA sequences

A multi-objective genetic algorithm for discovering non-domi...

引用

7th International conference on Hybrid Intelligent systems, HIS 2007

作者： Kaya, Mehmet Data Mining and Bioinformatics Laboratory Department of Computer Engineering Firat University 23119 Elazig Turkey

ISBN: (纸本)0769529461

This paper presents a novel motif discovery algorithm based on multi-objective genetic algorithms to extract non-dominated motifs in DNA sequences. The main advantage of our approach is that a large number of tradeoff (non-dominated) motifs can be obtained by a single run with respect to conflicting objectives: similarity, motif length and support maximization. In this paper, the method extracts non-dominated motifs taking into account two-objective at a time while one of the objectives is set to a prespecified value. So, user is given to the authority of incorporating to motif discovery process. Our approach can be applied to any data set with a sequential character. Furthermore, it allows any choice of similarity measures for finding motifs. By analyzing the discovered non-dominated motifs, the decision maker can understand the tradeoff between the objectives. We compare the approach with the three well-known motif discovery methods, AlignACE, MEME and Weeder. Experimental results on real data set extracted from TRANSFAC database demonstrate that the proposed method exhibits good performance over the other methods in terms of runtime and accuracy of prediction. © 2007 ieee.

关键词： DNA sequences

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共89页 << < 45 46 47 48 49 50 51 52 53 54 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：