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

367 篇 会议
3 篇 期刊文献
1 册 图书

馆藏范围

371 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

60 篇 工学
- 55 篇 计算机科学与技术...
- 39 篇 软件工程
- 27 篇 生物工程
- 20 篇 生物医学工程（可授...
- 14 篇 信息与通信工程
- 13 篇 控制科学与工程
- 9 篇 化学工程与技术
- 7 篇 电气工程
- 6 篇 动力工程及工程热...
- 6 篇 电子科学与技术（可...
- 3 篇 力学（可授工学、理...
- 3 篇 光学工程
- 3 篇 安全科学与工程
- 2 篇 机械工程
- 2 篇 航空宇航科学与技...
44 篇 理学
- 29 篇 生物学
- 24 篇 数学
- 10 篇 化学
- 10 篇 统计学（可授理学、...
- 9 篇 物理学
- 2 篇 系统科学
12 篇 管理学
- 7 篇 管理科学与工程(可...
- 7 篇 图书情报与档案管...
- 4 篇 工商管理
7 篇 医学
- 7 篇 基础医学(可授医学...
- 5 篇 临床医学
- 5 篇 药学(可授医学、理...
- 2 篇 特种医学
2 篇 法学
- 1 篇 法学
1 篇 经济学
- 1 篇 应用经济学
1 篇 教育学

主题

261 篇 bioinformatics
154 篇 genomics
70 篇 proteins
68 篇 sequences
52 篇 biology computin...
48 篇 dna
42 篇 databases
42 篇 biological syste...
39 篇 computer science
39 篇 gene expression
35 篇 humans
32 篇 genetics
31 篇 testing
30 篇 diseases
29 篇 organisms
27 篇 computational bi...
24 篇 data mining
23 篇 laboratories
21 篇 data analysis
18 篇 computational mo...

机构

3 篇 department of el...
2 篇 pacific nw natl ...
2 篇 department of co...
2 篇 bioinformatics r...
2 篇 department of el...
2 篇 genome institute...
2 篇 ieee
2 篇 school of biomed...
2 篇 department of co...
2 篇 ntt data company...
2 篇 department of co...
2 篇 lawrence livermo...
2 篇 department of co...
2 篇 department of bi...
2 篇 oak ridge nation...
2 篇 school of comput...
2 篇 ieee computer so...
2 篇 department of en...
2 篇 department of co...
2 篇 university of ma...

作者

9 篇 v. olman
9 篇 ying xu
6 篇 zhengchang su
6 篇 h. ali
4 篇 phuongan dam
3 篇 y. xu
3 篇 s. imoto
3 篇 w.s. noble
3 篇 l. raschid
3 篇 s. aluru
3 篇 t. higuchi
3 篇 n. shah
3 篇 d. adjeroh
3 篇 e. uberbacher
2 篇 z. su
2 篇 k. najarian
2 篇 r. schwartz
2 篇 j. lepre
2 篇 d. chen
2 篇 a. darvish

语言

371 篇 英文

检索条件"任意字段=Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004"

共 371 条记录，以下是111-120 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：

Assigning gene ontology categories (GO) to yeast genes using text-based supervised learning methods

Assigning gene ontology categories (GO) to yeast genes using...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： T. Izumitani H. Taira H. Kazawa E. Maeda NTT Communication Science Laboratories Kyoto Japan

We propose a method for assigning upper level gene ontology terms (GO categories) to genes using relevant documents. This method represents each gene as a vector using relevant documents to the gene. Then, binary classifiers are made for the GO categories using such supervised learning methods as support vector machines and maximum entropy method. We applied this method for assigning GO categories to yeast genes and achieved an average F-measure of 0.67, which is > 0.3 higher than the existing method developed by Raychaudhun et al. We also applied this method to genome-wide annotation for yeast by all GO Slim categories provided by SGD and achieved average F-measures of 0.58, 0.72, and 0.60, respectively, for the three GO parts: cellular component, molecular function, and biological process.

关键词： Ontologies Fungi Supervised learning Support vector machines bioinformatics Genomics Support vector machine classification Entropy Biological processes Databases

来源：评论

学校读者我要写书评

暂无评论

A mixed factors model for dimension reduction and extraction of a group structure in gene expression data

A mixed factors model for dimension reduction and extraction...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： R. Yoshida T. Higuchi S. Imoto Graduate University of Advanced Studies (SOKENDAI) Minato Tokyo Japan Institute for Statistical Mathematics Minato Tokyo Japan Human Genome Center Institute of Medical Science University of Tokyo Minato Tokyo Japan

When we cluster tissue samples on the basis of genes, the number of observations to be grouped is much smaller than the dimension of feature vector. In such a case, the applicability of conventional model-based clustering is limited since the high dimensionality of feature vector leads to overfilling during the density estimation process. To overcome such difficulty, we attempt a methodological extension of the factor analysis. Our approach enables us not only to prevent from the occurrence of overfilling, but also to handle the issues of clustering, data compression and extracting a set of genes to be relevant to explain the group structure. The potential usefulness are demonstrated with the application to the leukemia dataset.

关键词： Data mining Gene expression Principal component analysis bioinformatics Mathematics Humans Genomics Data compression Diseases Eigenvalues and eigenfunctions

来源：评论

学校读者我要写书评

暂无评论

Inference of gene regulatory network based on module network model with gene functional classifications

Inference of gene regulatory network based on module network...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： K. Taki R. Teramoto Y. Takenaka H. Matsuda Graduate School of Information Science and Technology Osaka University Japan Research Division Sumitomo Pharmaceuticals Company Limited Japan

We propose a novel method for an exhaustive inference of gene regulatory networks from genome-wide expression data and biological knowledge. Our method performs the inferences based on module network model. In the model a module is a set of genes with similar features, and a network represents regulatory relationships among the modules. Our method makes modules using gene functional classification together with expression data. We apply our method to inferences of the networks of yeast cell-cycle. Modules inferred by our method show consistency with experimentally-determined results on yeast cell-cycle, especially on G1 phase. Robust modules built by our method permit us to infer informative regulatory relationships.

关键词： Character generation Biological system modeling Chromium bioinformatics Fungi Robustness Regulators Ontologies Information science Pharmaceutical technology

来源：评论

学校读者我要写书评

暂无评论

Recognition of exon/intron boundaries using dynamic ensembles

Recognition of exon/intron boundaries using dynamic ensemble...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： Xuanfu Wu Zhengxin Chen Department of Computer Science University of Nebraska Omaha Omaha NE USA

ISBN: (纸本)0769521940

Many studies have been carried out in recognition of exon/intron boundaries. For example, PROCRUSTES uses similarity-based approach to gene recognition. Other examples include GRAIL (Gene Recognition and Assembly Internet Link) http://***/Grail-1.3/help/(1996) and Glimmer (Gene Locator and Interpolated Markov Modeler). Since the problem of recognition of exon/intron boundaries can be cast as a classification task, ensemble learning can be applied. An ensemble consists of a set of organized individual trained classifiers whose individual decisions are combined in a certain way for classification purpose. However, existing studies typically take static approaches which hampered flexibility for improved accuracy. To overcome this problem we have proposed the concept of dynamic ensemble and developed a new algorithm, BAGA, which combines bagging and genetic algorithm techniques.

关键词： Voting Genetic algorithms Biological cells Bagging Genetic mutations Computer science Assembly Internet Skeleton bioinformatics

来源：评论

学校读者我要写书评

暂无评论

Algorithms for association study design using a generalized model of haplotype conservation

Algorithms for association study design using a generalized ...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： R. Schwartz Department of Biological Sciences and School of Computer Science Carnegie Mellon University Pittsburgh PA USA

There is considerable interest in computational methods to assist in the use of genetic polymorphism data for locating disease-related genes. Haplotypes, contiguous sets of correlated variants, may provide a means of reducing the difficulty of the data analysis problems involved. The field to date has been dominated by methods based on the "haplotype block" hypothesis, which assumes discrete population-wide boundaries between conserved genetic segments, but there is strong reason to believe that haplotype blocks do not fully capture true haplotype conservation patterns. In this paper, we address the computational challenges of using a more flexible, block-free representation of haplotype structure called the "haplotype motif" model for downstream analysis problems. We develope algorithms for htSNP selection and missing data inference using this more generalized model of sequence conservation. Application to a dataset from the literature demonstrates the practical value of these block-free methods.

关键词： Algorithm design and analysis Genetics Inference algorithms Diseases bioinformatics Biological system modeling Computer science Biology computing Data analysis Humans

来源：评论

学校读者我要写书评

暂无评论

CUBIC: search for binding sites

CUBIC: search for binding sites

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： V. Olman Jizhu Lu PhuongAn Dam Zhengchang Su Ying Xu Department of Biochemistry and Molecular Biology University of Georgia USA Institute of Computational Biology Oak Ridge National Laboratory USA

The regulation of gene transcription is achieved through specific interactions between transcription factors and their binding sites in the upstream region of the gene being regulated. Correct identification of these binding sites represents a key challenging problem in computational biology. Our approach to the problem is to find a "clear" cluster in the space of all k-mers from the upstream regulatory regions of a set of genes that potentially share similar binding sites. The cluster identification is performed by using minimal spanning tree (MST) technique with a special distance between k-mers based on the chosen profile. It's shown that widely used "conservation" characteristic in position is a result of a "common sense" requirement for "conservation". The local convergence of algorithm for "conservation" maximization of profile has been proved and the method for statistical significance evaluation of results is presented. All ideas have been implemented in a form of software CUBIC.

关键词： computational biology Clustering algorithms Biochemistry Laboratories DNA Sequences Mathematical model Frequency bioinformatics

来源：评论

学校读者我要写书评

暂无评论

Qvalue methods may not always control false discovery rate in genomic applications

Qvalue methods may not always control false discovery rate i...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： Xiao Yang Genomics Technology Monsanto Company Saint Louis MO USA

ISBN: (纸本)0769521940

The qvalue method by Storey (2002, 2003) has been proved to be theoretically sound for controlling false discovery rate in many high throughput genomic applications. However, empirical evidences suggest that this method can be more stringent than other methods, such as Bonferroni adjustment and the FDR method by Benjamini and Hochberg (1995). We compare these methods for detection of gene differential expression in microarray data analysis. For microarray experiment with the purpose of gene discovery, where many genes are expected to be differentially expressed across different experimental conditions, the qvalue method generally performs well. However, for experiments with only a few genes expected to be differentially expressed, the qvalue method performs much worse than other methods. Some insights are provided to examine this discrepancy. Adjustments to q-value method are recommended to accommodate many applications.

关键词： Genomics bioinformatics Testing Throughput Proportional control Histograms Data analysis Error analysis

来源：评论

学校读者我要写书评

暂无评论

Disease gene explorer: display disease gene dependency by combining Bayesian networks with clustering

Disease gene explorer: display disease gene dependency by co...

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： Qian Diao We Hu Hao Zhong Juntao Li Feng Xue Tao Wang Yimin Zhang Intel China Research Center Limited Beijing China

ISBN: (纸本)0769521940

Constructing gene networks is one of the hot topics in the analysis of the microarray gene expression data. When combined with the output of disease gene finding, the generated gene networks will give a recommendation mechanism and an intuitive form for biologists to identify the underlying relationship among those biomarkers of the disease. In this paper, we present a display system, disease gene explorer, which can graphically display the dependency among genes, especially those biomarkers of a disease. It combines Bayesian networks (BN) learning with clustering and disease gene selection. We test the system on colon cancer data set and obtain some interesting results: most high-score biomarkers of the disease are partitioned into one group; the dependency among these disease genes are displayed as a directed acyclic graph (DAG).

关键词： Diseases Displays Bayesian methods Biomarkers Gene expression Colon Cancer System testing bioinformatics Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

proceedings of the Third ieee International conference on Cognitive Informatics = ICCI 2004

Proceedings of the Third IEEE International Conference on Co...

引用

proceedings of the Third ieee International conference on Cognitive Informatics, ICCI 2004

ISBN: (纸本)0769521908

The proceedings contain 31 papers from the proceedings of the Third ieee International conference on Cognitive Informatics ICCI 2004. The topics discussed include: language, logic, and the brain;on autonomous computing and cognitive processes;is entropy suitable to characterize data and signals for cognitive informatics?;on the cognitive informatics foundations of software engineering;a parallel language for cognitive informatics;concept formation and learning: a cognitive informatics perspective;specification of the RTPA grammar and its recognition;formal description of the cognitive process of problem solving;and cognitive bioinformatics: computational cognitive model for dynamic problem solving.

关键词： Cognitive systems

来源：评论

学校读者我要写书评

暂无评论

Space-conserving optimal DNA-protein alignment

Space-conserving optimal DNA-protein alignment

引用

proceedings of the ieee computational systems bioinformatics conference, csb

作者： Pang. Ko M. Narayanan A. Kalyanaraman S. Aluru Department of Electrical and Computer Engineering Iowa State University USA

DNA-protein alignment algorithms can be used to discover coding sequences in a genomic sequence, if the corresponding protein derivatives are known. They can also be used to identify potential coding sequences of a newly sequenced genome, by using proteins from related species. Previously known algorithms either solve a simplified formulation, or sacrifice optimality to achieve practical implementation. In this paper, we present a comprehensive formulation of the DNA-protein alignment problem, and an algorithm to compute the optimal alignment in O(mn) time using only four tables of size (m + 1) /spl times/ (n + 1), where m and n are the lengths of the DNA and protein sequences, respectively. We also developed a protein and DNA alignment program PanDA that implements the proposed solution. Experimental results indicate that our algorithm produces high quality alignments.

关键词： bioinformatics Genomics Protein engineering DNA computing Organisms Genetic mutations Protein sequence Animals Microorganisms Splicing

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38页 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：