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

1,138 篇 会议
346 篇 期刊文献
15 册 图书

馆藏范围

1,499 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

739 篇 工学
- 605 篇 计算机科学与技术...
- 353 篇 电气工程
- 158 篇 软件工程
- 144 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
566 篇 理学
- 510 篇 生物学
- 346 篇 数学
- 295 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
73 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...
35 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

590 篇 bioinformatics
264 篇 genomics
210 篇 proteins
176 篇 biological syste...
170 篇 computational bi...
169 篇 computational mo...
135 篇 biology computin...
120 篇 computational in...
114 篇 sequences
98 篇 dna
90 篇 gene expression
82 篇 feature extracti...
82 篇 artificial intel...
78 篇 databases
78 篇 machine learning
76 篇 predictive model...
74 篇 data mining
73 篇 diseases
65 篇 support vector m...
65 篇 humans

机构

14 篇 indian stat inst...
12 篇 jiangnan univ sc...
10 篇 bioinformatics r...
9 篇 indian stat inst...
8 篇 georgia state un...
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 ding yijie

语言

1,458 篇 英文
22 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 1499 条记录，以下是781-790 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：

Clustering Methods based on Closest String via Rank Distance 14th

Clustering Methods based on Closest String via Rank Distance

引用

14th International symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

作者： Dinu, Liviu P. Ionescu, Radu-Tudor Univ Bucharest Dept Comp Sci Bucharest Romania

ISBN: (纸本)9780769549347;9781467350266

This paper aims to present two clustering methods based on rank distance. Rank distance has applications in many different fields such as computational linguistics, biology and informatics. Rank distance can be computed fast and benefits from some features of the edit (Levenshtein) distance. In [1] two clustering methods based on rank distance are described. The K-means algorithm uses the median string to represent the centroid of a cluster, while the hierarchical clustering method joins pairs of strings and replaces each pair with the median string. Two similar clustering algorithms are about to be presented in this paper, only that the closest string will be considered instead of the median string. The new clustering algorithms are compared with those presented in [1] and other similar clustering techniques. Experiments using mitochondrial DNA sequences extracted from several mammals are performed to compare the results of the clustering methods. Resultsmdemonstrate the clustering performance and the utility of the new algorithms.

关键词： clustering k-means hierarchical clustering rank distance closest string closest substring DNA DNA applications DNA sequencing bioinformatics phylogeny

来源：评论

学校读者我要写书评

暂无评论

Advances in bioinformatics and computational biology - 7th Brazilian symposium on bioinformatics, BSB 2012, Proceedings

Advances in Bioinformatics and Computational Biology - 7th B...

引用

7th Brazilian symposium on bioinformatics, BSB 2012

ISBN: (纸本)9783642319266

The proceedings contain 17 papers. The topics discussed include: transposition diameter and lonely permutations;extending the algebraic formalism for genome rearrangements to include linear chromosomes;on the approximation ratio of algorithms for sorting by transpositions without using cycle graphs;a comparison of three heuristic methods for solving the parsing problem for tandem repeats;molecular dynamics for simulating the protein folding process using the 3D AB off-lattice model;a bioconductor based workflow for Z-DNA region detection and biological inference;RFMirTarget: a random forest classifier for human miRNA target gene prediction;prediction of transcription factor binding sites by integrating DNase digestion and histone modification;evaluating correlation coefficients for clustering gene expression profiles of cancer;and associating genotype sequence properties to haplotype inference errors.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A transcript perspective on evolution

A transcript perspective on evolution

引用

8th International symposium on bioinformatics Research and Applications, ISBRA 2012

作者： Christinat, Yann Moret, Bernard M. E. Laboratory of Computational Biology and Bioinformatics EPFL 1015 Lausanne Switzerland

ISBN: (纸本)9783642301902

Alternative splicing is now recognized as a major mechanism for transcriptome and proteome diversity in higher eukaryotes. Yet, its evolution is poorly understood. Most studies focus on the evolution of exons and introns at the gene level, while only few consider the evolution of transcripts. In this paper, we present a framework for transcript phylogenies where ancestral transcripts evolve along the gene tree by gains, losses, and mutation. We demonstrate the usefulness of our method on a set of 805 genes and two different topics. First, we improve a method for transcriptome reconstruction from ESTs (ASPic), then we study the evolution of function in transcripts. The use of transcript phylogenies allows us to double the specificity of ASPic, whereas results on the functional study reveal that conserved transcripts are more likely to share protein domains than functional sites. These studies validate our framework for the study of evolution in large collections of organisms from the perspective of transcripts;we developed and provide a new tool, TrEvoR, for this purpose. © 2012 Springer-Verlag.

关键词： Genes

来源：评论

学校读者我要写书评

暂无评论

Reconstruction of metabolic association networks using high-throughput mass spectrometry data

Reconstruction of metabolic association networks using high-...

引用

8th International Conference on Intelligent Computing Technology, ICIC 2012

作者： Koo, Imhoi Zhang, Xiang Kim, Seongho Department of Bioinformatics and Biostatistics University of Louisville Louisville KY 40292 United States Department of Chemistry University of Louisville Louisville KY 40292 United States

ISBN: (纸本)9783642315879

Graphical Gaussian model (GGM) has been widely used in genomics and proteomics to infer biological association networks, but the relative performances of various GGM-based methods are still unclear in metabolomics. The association between two nodes of GGM is calculated by partial correlation as a measure of conditional independence. To estimate the partial correlations with small sample size and large variables, two approaches have been introduced, which are arithmetic mean-based and geometric mean-based methods. In this study, we investigated the effects of these two approaches on constructing association metabolite networks and then compared their performances using partial least squares regression and principal component regression along with shrinkage covariance estimate as a reference. These approaches then are applied to simulated data and real metabolomics data. © 2012 Springer-Verlag.

关键词： Molecular biology

来源：评论

学校读者我要写书评

暂无评论

Novel multi-sample scheme for inferring phylogenetic markers from whole genome tumor profiles

Novel multi-sample scheme for inferring phylogenetic markers...

引用

8th International symposium on bioinformatics Research and Applications, ISBRA 2012

作者： Subramanian, Ayshwarya Shackney, Stanley Schwartz, Russell Department of Biological Sciences Carnegie Mellon University Pittsburgh PA 15213 United States Oncotherapeutics Pittsburgh PA 15243 United States Lane Center for Computational Biology Carnegie Mellon University Pittsburgh PA 15213 United States

ISBN: (纸本)9783642301902

computational cancer phylogenetics seeks to enumerate the temporal sequence of aberrations in tumor evolution, thereby delineating the evolution of possible tumor progression pathways, molecular subtypes and mechanisms of action. We previously developed a pipeline for constructing phylogenies describing evolution between major recurring cell types computationally inferred from whole-genome tumor profiles. The accuracy and detail of the phylogenies, however, depends on the identification of accurate, high-resolution molecular markers of progression, i.e., reproducible regions of aberration that robustly differentiate different subtypes and stages of progression. Here we present a novel hidden Markov model (HMM) scheme for the problem of inferring such phylogenetically significant markers through joint segmentation and calling of multi-sample tumor data. Our method classifies sets of genome-wide DNA copy number measurements into a partitioning of samples into normal (diploid) or amplified at each probe. It differs from other similar HMM methods in its design specifically for the needs of tumor phylogenetics, by seeking to identify robust markers of progression conserved across a set of copy number profiles. We show an analysis of our method in comparison to other methods on both synthetic and real tumor data, which confirms its effectiveness for tumor phylogeny inference and suggests avenues for future advances. © 2012 Springer-Verlag.

关键词： Phylogenetic

来源：评论

学校读者我要写书评

暂无评论

The emerging field of synthetic biology: A review

The emerging field of synthetic biology: A review

引用

2012 4th International Conference on Intelligent and Advanced Systems, ICIAS 2012

作者： Habibi, Narjeskhatoon Hashim, Siti Zaiton Mohd Rodriguez, Cesar A. Mohamad, Mohd Saberi Bin Deris, Safaai Bin Soft Computing Research Group Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Malaysia Genome Compiler Corporation United States Artificial Intelligence And. Bioinformatics Laboratory Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9781457719677

Synthetic biology which is concerned with engineering organisms to perform novel functions and developing the ways by which organisms can be engineered easily and robustly, is a relatively young field with a large potential for growth. Much of the work in the field involves design and construction of genetic circuitry, the piecing together of biological parts, such as promoters and ribosome binding sites, to form the basis for biological devices which are organisms that have an engineered, well-specified input-output behavior. The idea in synthetic biology is applying engineering principles, such as hierarchical design, modular reusable parts and standard interfaces to construct bio-systems. The results of these engineering efforts can be of great value to human interests such as medicine and industry. In this paper first some related terms and resources for synthetic biology are described. Then existing computational tools and methods for synthetic biology are explored. It is followed by a discussion on current challenges in the field and future directions and finally by conclusion. © 2012 ieee.

关键词： Binding sites

来源：评论

学校读者我要写书评

暂无评论

2007 ieee symposium on computational intelligence and bioinformatics and computational biology, CIBCB 2007

2007 IEEE Symposium on Computational Intelligence and Bioinf...

引用

2007 4th ieee symposium on computational intelligence in bioinformatics and computational biology, CIBCB 2007

ISBN: (纸本)1424407109

The proceedings contain 65 papers. The topics discussed include: linkage disequilibrium in genetic association studies improves the performance of grammatical evolution neural networks;novel data mining techniques in ACGH based breast cancer subtypes profiling: the biological perspective;associative artificial neural network for discovery of highly correlated gene groups based on gene ontology and gene expression;boosting evolutionary support vector machine for designing tumor classifiers from microarray data;predicting tumor malignancies using combined computational intelligence, bioinformatics and laboratory molecular biology approaches;gene relation discovery by mining similar subsequences in time-series microarray data;an experimental evaluation of inversion- and transposition-based genomic distances through simulations;and biological sequence mining using plausible neural network and its application to exon/intron boundaries prediction.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Iterative piecewise linear regression to accurately assess statistical significance in batch confounded differential expression analysis

Iterative piecewise linear regression to accurately assess s...

引用

8th International symposium on bioinformatics Research and Applications, ISBRA 2012

作者： Li, Juntao Choi, Kwok Pui Karuturi, R. Krishna Murthy Computational and Mathematical Biology Genome Institute of Singapore Singapore Department of Statistics and Applied Probability National University of Singapore Singapore

ISBN: (纸本)9783642301902

Batch dependent variation in microarray experiments may be manifested through systematic shift in expression measurements from batch to batch. Such a systematic shift could be taken care of by using an appropriate model for differential expression analysis. However, it poses greater challenge in the estimation of statistical significance and false discovery rate (FDR), if the batches are confounded (collinear) with the biological groups of interest. Batch confounding problem occurs commonly in the analysis of time-course data or data from different laboratories. We demonstrate that batch confounding may lead to incorrect estimation of the expected statistics. In this paper, we propose an iterative piecewise linear regression (iPLR) method, a major extension of our previously published Stepped Linear Regression (SLR) method, in the context of SAM to re-estimate the expected statistics and FDR. iPLR can be applied to one-sided or two-sided statistics based tests. We demonstrate the efficacy of iPLR on both simulated and real microarray datasets. iPLR also provides a better interpretation of the linear model parameters. © 2012 Springer-Verlag.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

OCR-based image features for biomedical image and article classification: Identifying documents relevant to genomic cis-regulatory elements

OCR-based image features for biomedical image and article cl...

引用

2012 AAAI Fall symposium

作者： Shatkay, Hagit Narayanaswamy, Ramya Nagaral, Santosh S. Harrington, Na Mv, Rohith Somanath, Gowri Tarpine, Ryan Schutter, Kyle Johnstone, Tim Blostein, Dorothea Istrail, Sorin Kambhamettu, Chandra Dept. of Computer and Inf. Sciences University of Delaware Newark DE United States Center for Bioinformatics and Computational Biology University of Delaware Newark DE United States School of Computing Queen's University Kingston ON Canada Center for Computational Molecular Biology Dept. of Computer Science Brown University Providence RI United States

Images form a significant information source in published biomedical articles, which is under-utilized in biomedical document classification and retrieval. Much current work on biomedical image retrieval and classification uses simple, standard image representation employing features such as edge direction or gray scale histograms. In our earlier work (Shatkay Chen, and Blostein, 2006) we have used such features as well to classify images, where image-class-tags have been used to represent and classify complete articles. Here we focus on a different literature classification task: identifying articles discussing cis-regulatory elements and modules, motivated by the need to understand complex gene-networks. Curators attempting to identify such articles use as a major cue a certain type of image in which the conserved cis-regulatory region on the DNA is shown. Our experiments show that automatically identifying such images using common image features (such as gray scale) is highly error prone. However, using Optical Character Recognition (OCR) to extract alphabet characters from images, calculating character distribution and using the distribution parameters as image features, forms a novel image representation, which allows us to identify DNA-content in images with high precision and recall (over 0.9). Utilizing the occurrence of DNA-rich images within articles, we train a classifier to identify articles pertaining to cis-regulatory elements with a similarly high precision and recall. Using OCR-based image features has much potential beyond the current task, to identify other types of biomedical sequence-based images showing DNA, RNA and proteins. Moreover, automatically identifying such images is applicable beyond the current use-case, in other important biomedical document classification tasks. Copyright © 2012, Association for the Advancement of Artificial intelligence (***). All rights reserved.

关键词： Optical character recognition

来源：评论

学校读者我要写书评

暂无评论

ModeRator - a software tool for comparison of stoichiometric models

ModeRator - a software tool for comparison of stoichiometric...

引用

International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Martins Mednis Zintis Rove Vytautas Galvanauskas Biosystems group Latvia University of Agriculture Jelgava Latvia Kaunas University of Technology Kaunas Lithuania

ModeRator is an online software tool for comparison of stoichiometric models written in COBRA-compatible format. Its main purpose is to detect the inconsistencies of complex models and to compare the models even without having Matlab and COBRA toolbox installed on a computer. The tool can be used online at http://***/moderator/ or hosted on a local computer. ModeRator is implemented in pure PHP, and its source code can be downloaded from http://***. The application and installation instructions are available. Additionally, a video tutorial is available on Youlube. ModeRator was tested on two representative genome-scale metabolic network models of Zymomonas Mobilis. The results show that the proposed software tool is able to correctly analyse/compare the models.

关键词： bioinformatics Genomics Biological system modeling computational modeling Mathematical model MATLAB Robustness

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150页 << < 75 76 77 78 79 80 81 82 83 84 > >>

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：