Gene expression data clustering and visualization based on a binary hierarchical clustering framework
نویسندگان
چکیده
منابع مشابه
Gene Expression Data Clustering and Visualization Based on a Binary Hierarchical Clustering Framework
We describe the use of a binary hierarchical clustering (BHC) framework for clustering of gene expression data. The BHC algorithm involves two major steps. Firstly, the K-means algorithm is used to split the data into two classes. Secondly, the Fisher criterion is applied to the classes to assess whether the splitting is acceptable. The algorithm is applied to the sub-classes recursively and en...
متن کاملGene Expression Data Clustering and Visualization Based on a Binary Heirarchical Clustering Framework
We describe the use of a binary hierarchical clustering (BHC) framework for clustering of gene expression data. The BHC algorithm involves two major steps. Firstly, the K-means algorithm is used to split the data into two classes. Secondly, the Fisher criterion is applied to the classes to assess whether the splitting is acceptable. The algorithm is applied to the sub-classes recursively and en...
متن کاملHierarchical Clustering of Gene Expression Data
Rapid development of biological technologies generates a hug amount of data, which provides a processing and global view of the gene expression levels across different conditions and over multiple stages. Analyzation and interpretation of these massive data is a challenging task. One of the most important steps is to extract useful and rational fundamental patterns of gene expression inherent i...
متن کاملClustering Gene Expression Data using a Regulation based Density Clustering
We present a density based method for clustering gene expression data using a two-objective function. The method uses regulation information as well as a suitable dissimilarity measure to cluster genes into regions of higher density separated by sparser regions. The method has been tested on five benchmark microarray datasets and found to perform well in terms of homogeneity and z-score measures.
متن کاملPathCluster: a framework for gene set-based hierarchical clustering
MOTIVATION Gene clustering and gene set-based functional analysis are widely used for the analysis of expression profiles. The development of a comprehensive method jointly combining the two methods would allow for greater biological insights. RESULTS We developed a software package, PathCluster for gene set-based clustering via an agglomerative hierarchical clustering algorithm. The distance...
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ژورنال
عنوان ژورنال: Journal of Visual Languages & Computing
سال: 2003
ISSN: 1045-926X
DOI: 10.1016/s1045-926x(03)00033-8