<p>Clustering and subspace clustering of a gene expression matrix: (A) a gene cluster must contain all columns, (B) subspace clusters correspond to arbitrary subsets of rows and columns, shown here as rectangles.</p
2013-11-18We propose a mining framework that supports the identification of useful knowledge based o...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
In this work, we assess the suitability of cluster analysis for the gene grouping problem confronted...
Subspace clustering is increasingly recognized as a useful and accurate alternative to conventional ...
<p><b>(a)</b> An artificial example: Given the input gene expression M matrix, where are the “intere...
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into...
Abstract: When clustering high dimensional data, traditional clustering methods are found to be lack...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...
DNA microarray technology has made it possible to simultaneously monitor the expression levels of th...
Clustering methods are used to place items in natural patterns or convenient groups. They can be use...
Individuals show different cell classes when they are in the different stages of a disease, have dif...
Clustering technology has been used extensively for the analysis of gene expression data. Among vari...
Eigenvectors and, more generally, singular vectors, have proved to be useful tools for data mining a...
Data mining technique used in the field of clustering is a subject of active research and assists in...
Subspace clustering is the problem of finding a multi-subspace representation that best fits a colle...
2013-11-18We propose a mining framework that supports the identification of useful knowledge based o...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
In this work, we assess the suitability of cluster analysis for the gene grouping problem confronted...
Subspace clustering is increasingly recognized as a useful and accurate alternative to conventional ...
<p><b>(a)</b> An artificial example: Given the input gene expression M matrix, where are the “intere...
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into...
Abstract: When clustering high dimensional data, traditional clustering methods are found to be lack...
Clustering is one of the most commonly used tools in the analysis of gene expression data (1, 2) . T...
DNA microarray technology has made it possible to simultaneously monitor the expression levels of th...
Clustering methods are used to place items in natural patterns or convenient groups. They can be use...
Individuals show different cell classes when they are in the different stages of a disease, have dif...
Clustering technology has been used extensively for the analysis of gene expression data. Among vari...
Eigenvectors and, more generally, singular vectors, have proved to be useful tools for data mining a...
Data mining technique used in the field of clustering is a subject of active research and assists in...
Subspace clustering is the problem of finding a multi-subspace representation that best fits a colle...
2013-11-18We propose a mining framework that supports the identification of useful knowledge based o...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
In this work, we assess the suitability of cluster analysis for the gene grouping problem confronted...