mdclust--exploratory microarray analysis by multidimensional clustering
نویسندگان
چکیده
منابع مشابه
MicroClAn: Microarray clustering analysis
Evaluating clustering results is a fundamental task in microarray data analysis, due to the lack of enough biological knowledge to know in advance the true partition of genes. Many quality indexes for gene clustering evaluation have been proposed. A critical issue in this domain is to compare and aggregate quality indexes to select the best clustering algorithm and the optimal parameter setting...
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The ultimate success of microarray technology in basic and applied biological sciences depends critically on the development of statistical methods for gene expression data analysis. The most widely used tests for differential expression of genes are essentially univariate. Such tests disregard the multidimensional structure of microarray data. Multivariate methods are needed to utilize the inf...
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Preprint submitted to Elsevier Science 29 April 2003 A clustering method based on recursive bisection is introduced for analyzing microarray gene expression data. Either or both dimensions for the genes and the samples of a given microarray dataset can be classi£ed in an unsupervised fashion. Alternatively, if certain prior knowledge of the genes or samples is available, a supervised version of...
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Cluster analysis techniques are used to classify objects into groups based on their similarities. There is a wide choice of methods with diierent requirements in computer resources. We present the result of a fairly exhaustive study to evaluate three commonly used clustering algorithms, namely, single linkage, complete linkage, and centroid. The cluster analysis study is conducted in the 2 dime...
متن کاملClustering Techniques Analysis for Microarray Data
Microarray data is gene expression data which consists of the protein level of various genes for some samples. It is a high dimensional data. High dimensionality is a curse for the analysis of gene expression data. Thus gene selection process is used in which most informative genes are selected from the pool of gene expression data set. All the genes are not relevant in each case. First we need...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2004
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bth009