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

1,141 篇 会议
353 篇 期刊文献
15 册 图书

馆藏范围

1,509 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

753 篇 工学
- 619 篇 计算机科学与技术...
- 355 篇 电气工程
- 160 篇 软件工程
- 148 篇 生物工程
- 126 篇 生物医学工程（可授...
- 67 篇 控制科学与工程
- 58 篇 化学工程与技术
- 41 篇 信息与通信工程
- 11 篇 机械工程
- 8 篇 材料科学与工程（可...
- 8 篇 电子科学与技术（可...
- 7 篇 光学工程
- 7 篇 仪器科学与技术
- 6 篇 交通运输工程
- 5 篇 安全科学与工程
- 4 篇 冶金工程
576 篇 理学
- 520 篇 生物学
- 352 篇 数学
- 305 篇 统计学（可授理学、...
- 61 篇 化学
- 27 篇 系统科学
- 21 篇 物理学
98 篇 管理学
- 66 篇 管理科学与工程(可...
- 35 篇 图书情报与档案管...
- 9 篇 工商管理
74 篇 医学
- 63 篇 基础医学(可授医学...
- 35 篇 临床医学
- 24 篇 药学(可授医学、理...
- 10 篇 公共卫生与预防医...
36 篇 农学
- 32 篇 作物学
3 篇 法学
3 篇 教育学
2 篇 经济学
1 篇 文学
1 篇 艺术学

主题

594 篇 bioinformatics
265 篇 genomics
211 篇 proteins
177 篇 biological syste...
171 篇 computational bi...
169 篇 computational mo...
136 篇 biology computin...
121 篇 computational in...
114 篇 sequences
99 篇 dna
90 篇 gene expression
86 篇 artificial intel...
82 篇 feature extracti...
79 篇 machine learning
78 篇 databases
76 篇 predictive model...
74 篇 data mining
73 篇 diseases
68 篇 humans
65 篇 support vector m...

机构

14 篇 indian stat inst...
12 篇 jiangnan univ sc...
10 篇 bioinformatics r...
9 篇 georgia state un...
9 篇 indian stat inst...
7 篇 brock univ dept ...
6 篇 school of comput...
6 篇 ieee
6 篇 cent south univ ...
6 篇 univ guelph dept...
5 篇 univ south carol...
5 篇 tianjin univ col...
5 篇 georgia state un...
5 篇 univ bergamo dep...
5 篇 jilin univ sch a...
5 篇 osaka inst techn...
4 篇 tianjin univ col...
4 篇 computational sc...
4 篇 suzhou univ sci ...
4 篇 mathematics and ...

作者

17 篇 bandyopadhyay sa...
13 篇 rajapakse jagath...
13 篇 houghten sherida...
12 篇 daniel ashlock
11 篇 ashlock daniel
9 篇 j.c. rajapakse
9 篇 sheridan houghte...
9 篇 guo fei
8 篇 brown joseph ale...
8 篇 fogel gary b.
7 篇 tang jijun
7 篇 srinivas aluru
7 篇 shinn-ying ho
7 篇 nobile marco s.
7 篇 mohamad mohd sab...
6 篇 de rajat k.
6 篇 huseyin seker
6 篇 milone diego h.
6 篇 maji pradipta
6 篇 zelikovsky alexa...

语言

1,477 篇 英文
28 篇 其他
4 篇 中文

检索条件"任意字段=IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology"

共 1509 条记录，以下是941-950 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：

Improved prediction of trans-membrane spans in proteins using an artificial neural network

Improved prediction of trans-membrane spans in proteins usin...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Julia Koehler Ralf Mueller Jens Meiler Center of Structural Biology Vanderbilt University Nashville TN USA

Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. computational structural biology seeks to increase the prediction accuracy of such methods since they represent a first step towards membrane protein tertiary structure prediction from the amino acid sequence. We introduce a predictor that is able to identify trans-membrane spans from the sequence of a protein. The novelty of the approach presented here is the simultaneous prediction of trans-membrane spanning alpha-helices and beta-strands within a single tool. An artificial neural network was trained on databases of 102 membrane proteins and 3499 soluble proteins. Prediction accuracies of up to 92% for soluble residues, 75% for residues in the interface, and 73% for TM residues are achieved. On average the algorithm predicts 79% of the residues correctly which is a substantial improvement from a previously published implementation which achieved 57% accuracy (Koehler et al., Proteins: Structure, Function, and bioinformatics, 2008). The algorithm was applied to four membrane proteins to illustrate the applicability to both alpha-helical bundles and beta-barrels.

关键词： Artificial neural networks Biomembranes Accuracy Protein sequence biology computing computational biology Amino acids Databases Prediction algorithms bioinformatics

来源：评论

学校读者我要写书评

暂无评论

Data synthesis and tool development for exploring imaging genomic patterns

Data synthesis and tool development for exploring imaging ge...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Sungeun Kim Li Shen Andrew J. Saykin John D. West IU Center of Neuroimaging Department of Radiology and the Center of Computational Biology and Bioinformatics Indiana University School of Medicine Indianapolis IN USA

Recent advances in brain imaging and high throughput genotyping techniques enable new approaches to study the influence of genetic variation on brain structure and function. However, major computational challenges are bottlenecks for comprehensive joint analysis of these high-dimensional image and genomic data. We report our initial progress in developing an imaging genomic browsing system for integrated exploration of neuroimaging and genomic data. We describe a method for synthesizing a set of realistic neuroimaging and genomic data, where the relationships between imaging phenotypes and genotypes are known. This data set is used to demonstrate the functionality of our system, which is designed for effectively exploring the neuroanatomical distribution of statistical results that measure the associations between brain imaging phenotypes and genotypes on a genome-wide scale. The proposed system has substantial potential for enabling discovery of important imaging genomic associations through visual evaluation and can be extended towards several directions.

关键词： Genomics bioinformatics Magnetic resonance imaging Brain Genetics Neuroimaging Throughput Data visualization Diffusion tensor imaging Image analysis

来源：评论

学校读者我要写书评

暂无评论

A Simple Algorithm for (l, d) Motif Search1

A Simple Algorithm for (l, d) Motif Search1

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Dolly Sharma Sanguthevar Rajasekaran Computer Science & Engineering University of Connecticut Storrs CT USA

Extracting meaningful patterns from voluminous amount of biological data is a very big challenge. Motifs are biological patterns of great interest to biologists. There are different versions of the Motif Finding Problem. In this paper we concentrate on the Planted (l, d) Motif Search Problem. There have been numerous algorithms designed to solve this problem. Many instances of the Planted (l, d) Motif Problem have been identified as challenging instances. The algorithm proposed here is an extension of PMS3. It uses a very simple approach and solves challenging instances ((21, 8), for example) that have not been reported solved before in the literature. We also propose a new algorithm PMS3p. We expect PMS3p to be significantly faster than PMS3.

关键词： Approximation algorithms Hamming distance Genomics bioinformatics Voting Computer science Medical services Data mining Search problems Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Predicting protein-protein interactions using numerical associational features

Predicting protein-protein interactions using numerical asso...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Waleed Aljandal William H. Hsu Jing Xia Department of Computing and Information Sciences Kansas State University Manhattan KS USA

We investigate the problem of predicting protein-protein interaction (PPI) using numerical features constructed from parent-child relation of a partial network constructed from known protein interactions. For each pair of proteins, we use a validation-based approach to normalize these features, which are based on association rule interestingness measures. The primary contribution of this work is the parametric normalization formula we derive and calibrate using data for the PPI task. This formula improves basic interestingness measures through taking sizes of itemset into account. Our derived itemset size-sensitive measures consider those rare but significant relationships among the children and the parents of set of proteins. We evaluate our work using k-nearest neighbor and rule-based classification approach.

关键词： Proteins Association rules Data mining Itemsets Gene expression Size measurement bioinformatics Statistics Computer networks Genomics

来源：评论

学校读者我要写书评

暂无评论

A novel LDA and PCA-based hierarchical scheme for metagenomic fragment binning

A novel LDA and PCA-based hierarchical scheme for metagenomi...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Hao Zheng Hongwei Wu Department of Electrical and Computer Engineering Georgia Institute of Technology USA

Metagenomics is to study microorganisms by directly extracting and cloning their DNAs from the environment without lab cultivation or isolation of individual genomes. Assembling of metagenomic DNA fragments is very much like the overlap-layout-consensus procedure for assembling isolated genomes, but is augmented by an additional binning step to differentiate scaffolds, contigs and unassembled reads into various taxonomic groups. In this paper, we employed oligonucleotide frequencies as the features and developed a hierarchical scheme for the challenging task of binning short metagenome fragments, in which principal component analysis (PCA) was implemented to reduce the high dimensionality of the feature space, and linear discriminant analysis (LDA) was used for the local classifier design. Simulation results and comparisons with a non-hierarchical classifier in silico were presented to demonstrate the effectiveness and performance of the proposed PCA and LDA-based hierarchical scheme. The HIER package for this study is available upon request.

关键词： Linear discriminant analysis Principal component analysis Genomics bioinformatics Assembly Microorganisms Cloning DNA Frequency Packaging

来源：评论

学校读者我要写书评

暂无评论

Simulation of the impact of retroviruses on genome organization of an artificial organism

Simulation of the impact of retroviruses on genome organizat...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Daniel Ashlock Wendy Ashlock National Science and Engineering Research Council of Canada Canada

Retroviruses are RNA viruses whose RNA can be transformed into DNA and inserted in the genome of a host cell. This study prototypes a simulation environment in which a simple artificial organism with a variable-size genome evolves with and without retroviruses. The simulated organisms are called grid walkers. They are evolved to efficiently occupy space on a two-dimensional grid. Grid walkers develop a self-organized genome structure with analogs to biological introns and exons. The introduction of retroviruses is found to cause several significant changes: the rate of genome growth is increased, the number of exons is increased, mean exon size is decreased, and fitness is retarded. The grid walkers are found to evolve heritable fitness in preference to high fitness (ldquosurvival of the flattestrdquo), a process that is enhanced when retroviruses are present.

关键词： Genomics bioinformatics Organisms Biological system modeling Humans DNA RNA Evolutionary computation Genetics Immune system

来源：评论

学校读者我要写书评

暂无评论

Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations

Steady-state analysis of genetic regulatory networks modeled...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Haixin Wang Lijun Qian Edward R. Dougherty Mathematics and Computer Science Fort Valley State University Fort Valley GA USA Department of Electrical Engineering Prairie View A and M University Prairie View TX USA Computational Biology Division Translational Genomics Research Institute Phoenix Phoenix AZ USA

Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied. However, a phenotype corresponds to a steady-state gene expression pattern and steady-state analysis of GRNs can provide valuable information on the stability of the GRNs, insights into cellular regulatory mechanisms underlying disease development as well as possible interventions for disease control. In this study, the steady-state behaviors of the nonlinear GRN models are analyzed based on time series data. The steady-state solutions and stability of nonlinear GRNs including polynomial model, sigmoidal model and S-system model are discussed in details.

关键词： Steady-state Genetics Differential equations Diseases Gene expression Information analysis Pattern analysis Stability analysis Time series analysis Polynomials

来源：评论

学校读者我要写书评

暂无评论

Assessing the impact of network depth on the analysis of PPI networks: A case study

Assessing the impact of network depth on the analysis of PPI...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Jaine K. Blayney Haiying Wang Huiru Zheng Francisco Azuaje Faculty of Computing and Engineering University of Ulster Newtownabbey UK Department of Cardiovascular Diseases Public Research Center of Health Luxembourg

Recent years have seen a growing interest in the incorporation of protein-protein interaction (PPI) networks to support functional genomic research. Often a default depth is assumed by network inference software. This case study considers the impact of network depth on the analysis of PPI networks using seven proteins known to be relevant to heart failure as inputs into the analysis. This paper analyses how the characteristics of a PPI network vary according to the level examined, suggesting that the investigation of network topology is an essential first step in PPI analysis. The classification of nodes, in terms of degree and betweenness centrality, within the network is also considered. The effect of network depth is also proved to be significant in the identification of potentially essential proteins with large connectivity and/or high betweenness centrality values.

关键词： Proteins Network topology Genomics bioinformatics Failure analysis Heart Cardiac disease Cardiovascular diseases Size measurement Biomarkers

来源：评论

学校读者我要写书评

暂无评论

Protein secondary structure prediction using rule induction from coverings

Protein secondary structure prediction using rule induction ...

引用

ieee symposium on computational intelligence and bioinformatics and computational biology (CIBCB)

作者： Leong Lee Jennifer L. Leopold Ronald L. Frank Anne M. Maglia Department of Computer Science Missouri University of Science and Technology Rolla MO USA Department of Biological Sciences Missouri University of Science and Technology Rolla MO USA

With the increase of data from genome sequencing projects comes the need for reliable and efficient methods for the analysis and classification of protein motifs and domains. Experimental methods currently used to determine protein structure are accurate, yet expensive both in terms of time and equipment. Therefore, various computational approaches to solving the problem have been attempted, although their accuracy has rarely exceeded 75%. In this paper, a rule-based method to predict protein secondary structure is presented. This method uses a newly developed data-mining algorithm called RT-RICO (Relaxed Threshold Rule Induction from Coverings), which identifies dependencies between amino acids in a protein sequence, and generates rules that can be used to predict secondary structures. The average prediction accuracy on sample data sets, or Q 3 score, using RT-RICO was 80.3%, an improvement over comparable computational methods.

关键词： Amino acids Protein sequence Protein engineering Probability Genomics bioinformatics Induction generators Accuracy Nuclear magnetic resonance Neural networks

来源：评论

学校读者我要写书评

暂无评论

A grid problem solving environment for bioinformatics: The LIBI experience

A grid problem solving environment for bioinformatics: The L...

引用

2009 22nd ieee International symposium on Computer-Based Medical Systems, CBMS 2009

作者： Mirto, Maria Passante, Marco Epicoco, Italo Aloisio, Giovanni University of Salento Lecce and SPACI Consortium Italy Euro Mediterranean Centre for Climate Change Lecce Italy

ISBN: (纸本)9781424448784

Problem Solving Environments (PSEs) are a very useful tool which combines simulation and visualization into a single package. The consequential benefit of such a system is that it facilitates experimentation with minimal additional effort from the user. The integration of Grid technology with PSEs is a natural step in this evolution. Finally, the idea of "workflow" in Grid terminology correspond very closely with how PSEs are generally constructed within e-Science environments. Indeed, workflows are needed for the simulation of complex experiments because they integrate several applications and data that often are distributed and that need careful orchestration. These were the main reasons for adopting the Grid PSE technology inside the LIBI virtual laboratory. The goal of this project is setting up an advanced bioinformatics and computational biology Laboratory, focusing on basic and applied research in modern biology and Biotechnologies. This paper describes the technological solution proposed by the LIBI project with a case study. ©2009 ieee.

关键词： bioinformatics

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151页 << < 91 92 93 94 95 96 97 98 99 100 > >>

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：