Eytan Domany "Cluster Analysis of Gene Expression Data", Journal of Statistical Physics, Vol. 110, pp. 3-6, 2003.Domany E: Cluster Analysis of Gene Expression Data. J Stat Physcs 2003, 110(3-6):1117-1139.E. Domany, "Cluster analysis of gene expression data," J Stat Phys, vol. ...
genecluster聚类分析基因analysismicroarray Cluster Analysis for Gene Expression Data: A Survey Daxin Jiang, Chun Tang, and Aidong Zhang Abstract—DNA microarray technology has now made it possible to simultaneously monitor the expression levels of thousands of genes during important biological processes and...
实操之前我们先了解一些参数的设置,如下:pItem (item resampling, proportion of items to sample) : 80% pFeature (gene resampling, proportion of features to sample) : 80% maxK (a maximum evalulated k, maximum cluster number to evaluate) : 6 reps (resamplings, number of subsamples) : 50 cl...
Presents an abstract for the article on the monitoring of cell response by cluster analysis of a gene expression matrix.doi:10.1038/14303Falciani, F.Cox, J.M.Clayton, C.L.Robinson, PhilBlakemore, S.Wallace, D.M.Crabtree, J.E.Trower, M.K....
The estimation of the number of clusters (NC) is one of crucial problems in the cluster analysis of gene expression data. Most approaches available give their answers without the intuitive information about separable degrees between clusters. However, this information is useful for understanding cluster...
In one preferred embodiment, the dimension of gene expression profiles are reduced. The reduced gene expression profiles are then subjected to cluster analysis.doi:WO2001020043 A1JING-SHAN HUMARK DURSTELINA KHURGINDAVID J. BALBANWOWO2001020043A1 2000年9月14日 2001年3月22日 Affymetrix, Inc. Method...
Clustering analysis of gene expression data illustrates similar and/or differential patterns of gene expression between samples and aids in the identification of possible targets of differentially expressed genes for further detailed analysis. For example, by grouping the gene expression profiles of well-...
Cluster analysis of gene expression data often involves multiple dis-tinct data sets, e. g., multiple time course measurements. Since existing clustering methods operate on a single matrix of expression data only, a common approach consists in aggregating all measurements into one data matrix. There...
CAGE-seq (Cap Analysis of Gene Expression AND deep Sequencing)是结合mRNA加帽位点鉴定和高通量测序的手段,可以高通量的鉴定整个细胞内mRNA的转录起始位点,从而获得准确的启动子信息和5’UTR信息。 **CAGE-seq数据分析** 基于以前的CAGE-seq数据分析方法(ynamic regulation of the transcription initiation landscape...
Stochastic Resonance of Ensemble Neurons for Transient Spike Trains: A Wavelet Analysis By using the wavelet transformation (WT), I have analyzed the response of an ensemble of N (=1, 10, 100, and 500) Hodgkin-Huxley neurons to transient M-pul... Hasegawa,Hideo - 《Phys Rev E Stat Nonli...