咨询与建议

限定检索结果

文献类型

  • 594 篇 期刊文献
  • 170 篇 会议
  • 6 篇 学位论文

馆藏范围

  • 770 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 548 篇 工学
    • 385 篇 计算机科学与技术...
    • 134 篇 生物工程
    • 111 篇 电气工程
    • 59 篇 生物医学工程(可授...
    • 39 篇 控制科学与工程
    • 23 篇 软件工程
    • 21 篇 信息与通信工程
    • 10 篇 材料科学与工程(可...
    • 10 篇 化学工程与技术
    • 9 篇 仪器科学与技术
    • 5 篇 环境科学与工程(可...
    • 4 篇 电子科学与技术(可...
    • 3 篇 机械工程
    • 3 篇 冶金工程
  • 433 篇 理学
    • 333 篇 生物学
    • 133 篇 统计学(可授理学、...
    • 60 篇 数学
    • 25 篇 化学
    • 19 篇 系统科学
    • 8 篇 物理学
    • 5 篇 生态学
  • 156 篇 医学
    • 73 篇 基础医学(可授医学...
    • 41 篇 临床医学
    • 18 篇 药学(可授医学、理...
    • 12 篇 公共卫生与预防医...
  • 117 篇 农学
    • 28 篇 作物学
  • 52 篇 管理学
    • 41 篇 管理科学与工程(可...
    • 9 篇 公共管理
  • 30 篇 经济学
    • 30 篇 应用经济学
  • 3 篇 文学
    • 3 篇 新闻传播学
  • 2 篇 教育学
  • 1 篇 艺术学

主题

  • 770 篇 microarray data
  • 103 篇 feature selectio...
  • 60 篇 classification
  • 58 篇 gene selection
  • 48 篇 gene expression
  • 34 篇 bioinformatics
  • 31 篇 clustering
  • 30 篇 cancer classific...
  • 23 篇 machine learning
  • 20 篇 genetic algorith...
  • 17 篇 support vector m...
  • 17 篇 data mining
  • 17 篇 biclustering
  • 16 篇 feature extracti...
  • 16 篇 false discovery ...
  • 15 篇 cancer
  • 15 篇 gene ontology
  • 13 篇 differentially e...
  • 13 篇 breast cancer
  • 13 篇 genetic algorith...

机构

  • 7 篇 jadavpur univ de...
  • 6 篇 univ rochester d...
  • 5 篇 indian stat inst...
  • 5 篇 hefei univ techn...
  • 4 篇 nehu it dept shi...
  • 4 篇 gimt ece dept kr...
  • 4 篇 chuzhou univ sch...
  • 4 篇 univ calcutta cs...
  • 3 篇 royal thai air f...
  • 3 篇 osaka prefecture...
  • 3 篇 res ctr comp sci...
  • 3 篇 osaka prefecture...
  • 3 篇 georgia inst tec...
  • 3 篇 mohamed boudiaf ...
  • 3 篇 mit dept elect e...
  • 3 篇 xiamen univ dept...
  • 3 篇 univ calcutta de...
  • 3 篇 northeastern uni...
  • 3 篇 northeastern uni...
  • 3 篇 univ teknol mala...

作者

  • 11 篇 deris safaai
  • 9 篇 yoshioka michifu...
  • 9 篇 omatu sigeru
  • 9 篇 mohamad mohd sab...
  • 8 篇 saha goutam
  • 7 篇 wang aiguo
  • 7 篇 sarkar ram
  • 6 篇 an ning
  • 6 篇 yakovlev andrei
  • 6 篇 li wei
  • 6 篇 mandal sudip
  • 5 篇 xie weidong
  • 5 篇 dash rasmita
  • 5 篇 klebanov lev
  • 5 篇 pal rajat kumar
  • 5 篇 boongoen tossapo...
  • 4 篇 moorthy kohbalan
  • 4 篇 liu kun-hong
  • 4 篇 hong qingqi
  • 4 篇 chen guilin

语言

  • 737 篇 英文
  • 32 篇 其他
  • 1 篇 中文
检索条件"主题词=microarray Data"
770 条 记 录,以下是581-590 订阅
排序:
A DSRPCL-SVM Approach to Informative Gene Analysis
收藏 引用
Genomics, Proteomics & Bioinformatics 2008年 第2期6卷 83-90页
作者: Wei Xiong Zhibin Cai Jinwen Ma School of Mathematical Sciences and Laboratory of Mathematics and Applied Mathematics (LMAM) PekingUniversity Beijing 100871 China
microarray data based tumor diagnosis is a very interesting topic in bioinformatics. One of the key problems is the discovery and analysis of informative genes of a tumor. Although there are many elaborate approaches ... 详细信息
来源: 评论
KEGGanim:: pathway animations for high-throughput data
收藏 引用
BIOINFORMATICS 2008年 第4期24卷 588-590页
作者: Adler, Priit Reimand, Jueri Jaenes, Juergen Kolde, Raivo Peterson, Hedi Vilo, Jaak Estonian Bioctr Tartu Estonia Univ Tartu Inst Comp Sci EE-50090 Tartu Estonia QureTec Inc Tartu Estonia
Motivation: Gene expression analysis with microarrays has become one of the most widely used high-throughput methods for gathering genome-wide functional data. Emerging-omics fields such as proteomics and interactomic... 详细信息
来源: 评论
Gene regulatory network reconstruction and pathway inference from high throughput gene expression data
Gene regulatory network reconstruction and pathway inference...
收藏 引用
作者: Luo, Weijun University of Michigan
学位级别:Ph.D.
Two basic motivating questions in biomedical research are: What genes regulate what other genes? What genes or groups of genes regulate a specific phenotype? Gene regulatory network (GRN) reconstruction and pathway in... 详细信息
来源: 评论
Information Gain with Chaotic Genetic Algorithm for Gene Selection and Classification Problem
Information Gain with Chaotic Genetic Algorithm for Gene Sel...
收藏 引用
IEEE International Conference on System, Man, and Cybernetic
作者: Yang, Cheng-San Chuang, Li-Yeh Li, Jung-Chike Yang, Cheng-Hong Natl Cheng Kung Univ Inst Biomed Engn Tainan 70101 Taiwan I Shou Univ Dept Chem Engn Kaohsiung Taiwan Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung Taiwan
For microarray data classification problem, selecting relevant genes from microarray data pose a formidable challenge to researchers due to the high-dimensionality of features, multi-class categories being involved an... 详细信息
来源: 评论
Proportionate Feature Selection - A Pre-Processing Step for Clustering
Proportionate Feature Selection - A Pre-Processing Step for ...
收藏 引用
IEEE International Conference on System, Man, and Cybernetic
作者: Sekhon, Jashanjot Singh Gopalkrishnan, Vivekanand Keong, Ng Wee Nanyang Technol Univ Singapore 639798 Singapore
Accuracy and efficiency of clustering algorithms depend greatly on the input data. Thus, removing unimportant features from the dataset can help us form better dusters in lesser time. These unimportant features may be... 详细信息
来源: 评论
Testing differential expression in nonoverlapping gene pairs: A new perspective for the empirical bayes method
收藏 引用
Journal of Bioinformatics and Computational Biology 2008年 第2期6卷 301-316页
作者: Klebanov, Lev Qiu, Xing Yakovlev, Andrei Department of Probability and Statistics Charles University Praha-8 CZ-18675 Sokolovska 83 Czech Republic Department of Biostatistics and Computational Biology University of Rochester Rochester NY 14642 601 Elmwood Avenue United States
The currently practiced methods of significance testing in microarray gene expression profiling are highly unstable and tend to be very low in power. These undesirable properties are due to the nature of multiple test... 详细信息
来源: 评论
Visualization of gene combinations
Visualization of gene combinations
收藏 引用
12th International Conference Information Visualisation 2008
作者: Tominski, Christian Schumann, Heidrun Univ Rostock Inst Comp Sci D-2500 Rostock 1 Germany
Advances in the field of microarray technology have attracted a lot of attention in recent years. More and more biological experiments are conducted based on microarrays. The challenge researchers face today is to ana... 详细信息
来源: 评论
EzArray: A web-based highly automated Affymetrix expression array data management and analysis system
收藏 引用
BMC BIOINFORMATICS 2008年 第1期9卷 46-46页
作者: Zhu, Yuerong Zhu, Yuelin Xu, Wei BioInfoRx Inc Middleton WI 53562 USA Georgetown Univ Dept Oncol Washington DC 20057 USA Univ Wisconsin Dept Oncol Madison WI 53706 USA
Background: Though microarray experiments are very popular in life science research, managing and analyzing microarray data are still challenging tasks for many biologists. Most microarray programs require users to ha... 详细信息
来源: 评论
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
收藏 引用
BMC BIOINFORMATICS 2008年 第s1期9卷 S9-S9页
作者: Zhao, Hongya Chan, Kwok-Leung Cheng, Lee-Ming Yan, Hong City Univ Hong Kong Dept Elect Engn Kowloon Hong Kong Peoples R China Univ Sydney Sch Elect & Informat Engn Sydney NSW 2006 Australia
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increasingly popular to solve this type of pr... 详细信息
来源: 评论
Application of microarray outlier detection methodology to psychiatric research
收藏 引用
BMC PSYCHIATRY 2008年 第1期8卷 29-29页
作者: Ernst, Carl Bureau, Alexandre Turecki, Gustavo McGill Univ McGill Grp Suicide Studies Montreal PQ Canada Univ Laval Robert Giffard Ctr Rech Laval PQ Canada Univ Laval Dept Social & Prevent Med Quebec City PQ G1K 7P4 Canada Douglas Hosp Res Ctr Montreal PQ H4H 1R3 Canada
Background: Most microarray data processing methods negate extreme expression values or alter them so that they do not lie outside the mean level of variation of the system. While microarrays generate a substantial am... 详细信息
来源: 评论