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检索条件"主题词=Cluster Algorithm"
185 条 记 录,以下是121-130 订阅
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Difference-based clustering of short time-course microarray data with replicates
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BMC BIOINFORMATICS 2007年 第1期8卷 253-253页
作者: Kim, Jihoon Kim, Ju Han Seoul Natl Univ Coll Med Seoul 110799 South Korea Univ Wisconsin Med Sci Ctr Dept Stat Madison WI 53706 USA
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain knowledge and do not incorporate informati... 详细信息
来源: 评论
Evaluation of gene-expression clustering via mutual information distance measure
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BMC BIOINFORMATICS 2007年 第1期8卷 111-111页
作者: Priness, Ido Maimon, Oded Ben-Gal, Irad Tel Aviv Univ Dept Ind Engn IL-69978 Tel Aviv Israel
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compare different clustering solutions when... 详细信息
来源: 评论
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
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BMC BIOINFORMATICS 2007年 第1期8卷 250-250页
作者: Huttenhower, Curtis Flamholz, Avi I. Landis, Jessica N. Sahi, Sauhard Myers, Chad L. Olszewski, Kellen L. Hibbs, Matthew A. Siemers, Nathan O. Troyanskaya, Olga G. Coller, Hilary A. Princeton Univ Dept Mol Biol Princeton NJ 08544 USA Princeton Univ Dept Comp Sci Princeton NJ 08544 USA Princeton Univ Lewis Sigler Inst Integrat Genom Princeton NJ 08544 USA Bristol Myers Squibb Co Pennington NJ 08534 USA
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both individual biological pathways and the inte... 详细信息
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Super paramagnetic clustering of DNA sequences
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JOURNAL OF BIOLOGICAL PHYSICS 2006年 第1期32卷 11-25页
作者: Radjiman, S Han, LY Wang, JS Chen, YZ Natl Univ Singapore Dept Computat Sci Singapore 117543 Singapore
An unsupervised clustering of 4541 DNA sequences containing active promoter regions from vertebrate and arthropod classes (including their viral genes) was performed. All necessary information was solely gathered a pr... 详细信息
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Research on virtual logistic enterprises partners selection method based on CLIQUE
Research on virtual logistic enterprises partners selection ...
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10th International Conference on Computer Supported Cooperative Work in Design
作者: Xu, Song Shen, Lixin Zhai, Jun Yang, Zan Li, Yongxian Dalian Maritime Univ Econ & Management Coll Liaoning 116026 Peoples R China Liaoning Normal Univ Liaoning 116026 Peoples R China
The proper selection and determination of partners is the key to the establishment of virtual logistic enterprises. With the rapid development of information technology, and the globalization and digitalization of the... 详细信息
来源: 评论
Evaluation of clustering algorithms for gene expression data
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BMC BIOINFORMATICS 2006年 第s4期7卷 S17-S17页
作者: Datta, Susmita Datta, Somnath Univ Louisville Dept Bioinformat & Biostat Louisville KY 40202 USA
Background: cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped together according to their expression profil... 详细信息
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STEM: a tool for the analysis of short time series gene expression data
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BMC BIOINFORMATICS 2006年 第1期7卷 191-191页
作者: Ernst, J Bar-Joseph, Z Carnegie Mellon Univ Sch Comp Sci Ctr Automated & Learning & Discovery Pittsburgh PA 15213 USA
Background: Time series microarray experiments are widely used to study dynamical biological processes. Due to the cost of microarray experiments, and also in some cases the limited availability of biological material... 详细信息
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Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes
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BMC BIOINFORMATICS 2006年 第1期7卷 397-397页
作者: Datta, Susmita Datta, Somnath Univ Louisville Dept Bioinformat & Biostat Louisville KY 40202 USA
Background: A cluster analysis is the most commonly performed procedure (often regarded as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is done to see if the genes in the same... 详细信息
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Metric for measuring the effectiveness of clustering of DNA microarray expression
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BMC BIOINFORMATICS 2006年 第Sup2期7卷 S5-S5页
作者: Loganantharaj, Raja Cheepala, Satish Clifford, John Univ Louisiana Bioinformat Res Lab Lafayette LA 70504 USA LSU Hlth Sci Ctr Dept Biochem & Mol Biol Shreveport LA 71130 USA Feist Weiller Canc Ctr Shreveport LA 71130 USA
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultaneously. The differentially expressed ge... 详细信息
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CoXpress: differential co-expression in gene expression data
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BMC BIOINFORMATICS 2006年 第1期7卷 509-509页
作者: Watson, Michael Inst Anim Hlth Informat Grp Newbury RG20 7NN Berks England
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find groups of genes that behave similarly... 详细信息
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