Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into groups or clusters with similar behavior across relevant tissue samples (or cell lines). These techniques can also be applied to tissues rather than genes. Methods such as hierarchical agglomerative clustering, k-means clustering, the self-organizing map, and model-based methods have been used. Here we focus on mixtures of normals to provide a model-based clustering of tissue samples (gene signatures) and of gene profiles, including time-course gene expression data
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
Gene expression data hide vital information required to understand the biological process that takes...
DNA microarray technology is used for simultaneously measuring DNA expression level of thousands of ...
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into...
Clustering methods are used to place items in natural patterns or convenient groups. They can be use...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...
Current methods for analysis of gene expression data are mostly based on clustering and classificati...
This thesis examines methods used to cluster time-course gene expression array data. In the past dec...
Clustering has become one of the fundamental tools for analyzing gene expression and producing gene ...
This paper considers a model-based approach to the clustering of tissue samples of a very large numb...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
Gene expression data hide vital information required to understand the biological process that takes...
DNA microarray technology is used for simultaneously measuring DNA expression level of thousands of ...
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into...
Clustering methods are used to place items in natural patterns or convenient groups. They can be use...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...
Current methods for analysis of gene expression data are mostly based on clustering and classificati...
This thesis examines methods used to cluster time-course gene expression array data. In the past dec...
Clustering has become one of the fundamental tools for analyzing gene expression and producing gene ...
This paper considers a model-based approach to the clustering of tissue samples of a very large numb...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
In this work a new clustering approach is used to explore a well- known dataset [Whitfield, M. L., S...
Gene expression data hide vital information required to understand the biological process that takes...
DNA microarray technology is used for simultaneously measuring DNA expression level of thousands of ...