咨询与建议

限定检索结果

文献类型

  • 11 篇 期刊文献
  • 1 篇 会议

馆藏范围

  • 12 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 10 篇 工学
    • 8 篇 生物工程
    • 1 篇 冶金工程
    • 1 篇 计算机科学与技术...
  • 9 篇 理学
    • 9 篇 生物学
  • 7 篇 医学

主题

  • 12 篇 hierarchical clu...
  • 2 篇 cluster algorith...
  • 1 篇 breast cancer da...
  • 1 篇 semantic type
  • 1 篇 short tandem rep...
  • 1 篇 gene ontology te...
  • 1 篇 topology preserv...
  • 1 篇 agglomerative hi...
  • 1 篇 inverse document...
  • 1 篇 cluster performa...
  • 1 篇 supplementary fi...
  • 1 篇 ad hoc networks
  • 1 篇 lymphocyte malig...
  • 1 篇 relevant subtype
  • 1 篇 close cluster
  • 1 篇 cluster centroid...
  • 1 篇 threshold crypto...
  • 1 篇 unsupervised hie...
  • 1 篇 cluster result
  • 1 篇 multiple transcr...

机构

  • 1 篇 gek srl milan
  • 1 篇 wako inst riken ...
  • 1 篇 mars inc miami f...
  • 1 篇 stanford univ sc...
  • 1 篇 univ palermo dip...
  • 1 篇 univ paris 07 in...
  • 1 篇 shanghai univ sc...
  • 1 篇 xiamen univ fuji...
  • 1 篇 riken yokohama i...
  • 1 篇 atragene bioinfo...
  • 1 篇 univ queensland ...
  • 1 篇 department of bi...
  • 1 篇 univ tartu inst ...
  • 1 篇 duke university ...
  • 1 篇 univ london impe...
  • 1 篇 department of wo...
  • 1 篇 beijing univ tec...
  • 1 篇 ibm tj watson re...
  • 1 篇 ibm tj watson re...
  • 1 篇 natl inst adv in...

作者

  • 2 篇 utro filippo
  • 1 篇 guitton florian
  • 1 篇 pandis ioannis
  • 1 篇 parida laxmi
  • 1 篇 giancarlo raffae...
  • 1 篇 wei dan
  • 1 篇 malpertuy a
  • 1 篇 dib linda
  • 1 篇 hazout s
  • 1 篇 kull meelis
  • 1 篇 guo yike
  • 1 篇 okamura-oho yuko
  • 1 篇 enrico ferrazzi
  • 1 篇 johnson david
  • 1 篇 motamayor juan c...
  • 1 篇 wang shicai
  • 1 篇 weitzman jonatha...
  • 1 篇 francesco attili...
  • 1 篇 livingstone dona...
  • 1 篇 wei yanjie

语言

  • 12 篇 英文
检索条件"主题词=Hierarchical Cluster Algorithm"
12 条 记 录,以下是1-10 订阅
排序:
A novel hierarchical clustering algorithm for gene sequences
收藏 引用
BMC BIOINFORMATICS 2012年 第1期13卷 1-15页
作者: Wei, Dan Jiang, Qingshan Wei, Yanjie Wang, Shengrui Chinese Acad Sci Shenzhen Key Lab High Performance Data Min Shenzhen Inst Adv Technol Shenzhen Peoples R China Xiamen Univ Dept Cognit Sci Xiamen Peoples R China Xiamen Univ Fujian Key Lab Brain Intelligent Syst Xiamen Peoples R China Univ Sherbrooke Dept Comp Sci Sherbrooke PQ J1K 2R1 Canada
Background: clustering DNA sequences into functional groups is an important problem in bioinformatics. We propose a new alignment-free algorithm, mBKM, based on a new distance measure, DMk, for clustering gene sequenc... 详细信息
来源: 评论
A composite key management scheme for mobile ad hoc networks
收藏 引用
On the Move Federated Workshops
作者: Fu, Yingfang He, Jingsha Li, Guorui Beijing Univ Technol Coll Comp Sci & Technol Beijing 100022 Peoples R China Beijing Univ Technol Sch Software Engn Beijing 100022 Peoples R China
An Ad Hoc network is a multi-path autonomous system comprised of a group of mobile nodes with wireless transceivers. In this paper, we first review the present research in key management in Ad Hoc networks. Then, by c... 详细信息
来源: 评论
Optimising parallel R correlation matrix calculations on gene expression data using MapReduce
收藏 引用
BMC BIOINFORMATICS 2014年 第1期15卷 1-9页
作者: Wang, Shicai Pandis, Ioannis Johnson, David Emam, Ibrahim Guitton, Florian Oehmichen, Axel Guo, Yike Univ London Imperial Coll Sci Technol & Med Data Sci Inst London England Shanghai Univ Sch Comp Sci Shanghai Peoples R China
Background: High-throughput molecular profiling data has been used to improve clinical decision making by stratifying subjects based on their molecular profiles. Unsupervised clustering algorithms can be used for stra... 详细信息
来源: 评论
CLAG: an unsupervised non hierarchical clustering algorithm handling biological data
收藏 引用
BMC BIOINFORMATICS 2012年 第1期13卷 1-14页
作者: Dib, Linda Carbone, Alessandra UPMC UMR7238 F-75006 Paris France CNRS UMR7238 Lab Genom Microorganismes F-75006 Paris France
Background: Searching for similarities in a set of biological data is intrinsically difficult due to possible data points that should not be clustered, or that should group within several clusters. Under these hypothe... 详细信息
来源: 评论
Large-scale clustering of CAGE tag expression data
收藏 引用
BMC BIOINFORMATICS 2007年 第1期8卷 1-10页
作者: Shimokawa, Kazuro Okamura-Oho, Yuko Kurita, Takio Frith, Martin C. Kawai, Jun Carninci, Piero Hayashizaki, Yoshihide RIKEN Yokohama Inst Genom Sci Ctr Genome Explorat Res GrpTsurumi Ku Yokohama Kanagawa 2300045 Japan Natl Inst Adv Ind Sci & Technol Tsukuba Ibaraki 305 Japan Univ Queensland Inst Mol Biosci St Lucia Qld 4072 Australia Wako Inst RIKEN Discovery Res Inst Genom Sci Lab Wako Saitama 351 Japan
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. We have identified a huge number of TS... 详细信息
来源: 评论
ARG-based genome-wide analysis of cacao cultivars
收藏 引用
BMC BIOINFORMATICS 2012年 第Sup19期13卷 S17-S17页
作者: Utro, Filippo Cornejo, Omar Eduardo Livingstone, Donald Motamayor, Juan Carlos Parida, Laxmi IBM TJ Watson Res Computat Biol Ctr Yorktown Hts NY 10598 USA Stanford Univ Sch Med Dept Genet Stanford CA 94305 USA USDA Miami FL 33186 USA Mars Inc Miami FL 33158 USA
Background: Ancestral recombinations graph (ARG) is a topological structure that captures the relationship between the extant genomic sequences in terms of genetic events including recombinations. IRiS is a system tha... 详细信息
来源: 评论
Exploring supervised and unsupervised methods to detect topics in biomedical text
收藏 引用
BMC BIOINFORMATICS 2006年 第1期7卷 140-140页
作者: Lee, Minsuk Wang, Weiqing Yu, Hong Department of Biomedical Informatics Columbia University 622West 168th Street VC-5 NY 10032 USA Department of Molecular Pharmacology Albert Einstein College of Medicine Bronx NY 10461 USA
Background: Topic detection is a task that automatically identifies topics (e.g., "biochemistry" and "protein structure") in scientific articles based on information content. Topic detection will b... 详细信息
来源: 评论
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
收藏 引用
BMC BIOINFORMATICS 2004年 第1期5卷 114-114页
作者: de Brevern, AG Hazout, S Malpertuy, A Univ Paris 07 INSERM E0346 EBGM F-75251 Paris 05 France Atragene Bioinformat F-91000 Evry France
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MV... 详细信息
来源: 评论
Speeding up the Consensus clustering methodology for microarray data analysis
收藏 引用
algorithmS FOR MOLECULAR BIOLOGY 2011年 第1期6卷 1-1页
作者: Giancarlo, Raffaele Utro, Filippo Univ Palermo Dipartimento Matemat & Informat I-90123 Palermo Italy IBM TJ Watson Res Ctr Yorktown Yeights NY USA
Background: The inference of the number of clusters in a dataset, a fundamental problem in Statistics, Data Analysis and Classification, is usually addressed via internal validation measures. The stated problem is qui... 详细信息
来源: 评论
Classifying lymphomas
收藏 引用
Genome Biology 2000年 第2期1卷 1-4页
作者: Weitzman, Jonathan B
DNA microarray analysis has been used for the first time to define clinically relevant subtypes of lymphoma.
来源: 评论