The analysis of microarray data is a key to understanding the influ-ence and role of genes. Visualization is one way to support analysts in finding potentially important genes. However, most visualiza-tion tools focus on representing single genes, important gene com-binations are not always easy to spot and compare with existing approaches. What we propose here is the novel idea of making gene combi-nations visually explicit, and thus making them easier to grasp and understand. We describe a tool that integrates several visual and interaction methods to help users gain insight into their microarray data. The tool further provides an interface to plug in analytical methods, which are important to filter relevant gene combinations out of the ...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
The need for novel methods of visualizing microarray data is growing. New perspectives are beneficia...
The availability of genomic data is increasing exponentially. This is magnified by the proliferation...
Advances in the field of microarray technology have at-tracted a lot of attention in recent years. M...
Advances in the field of microarray technology have at-tracted a lot of attention in the last years....
Graphical representation may provide effective means of making sense of the complexity and sheer vol...
Abstract—Graphical representation may provide effective means of making sense of the complexity and ...
Microarray data represents the expression levels of genes for differ-ent samples and for different c...
Scientific visualization has proved to be highly ef-fective in data mining applications. It is widel...
Graphical representation may provide effective means of making sense of the complexity and sheer vol...
BACKGROUND: The most common method of identifying groups of functionally related genes in microarray...
Background: The most common method of identifying groups of functionally related genes in microarray...
Abstract Background When publishing large-scale microarray datasets, it is of great value to create ...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
Abstract Background Gene-list annotations are critical for researchers to explore the complex relati...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
The need for novel methods of visualizing microarray data is growing. New perspectives are beneficia...
The availability of genomic data is increasing exponentially. This is magnified by the proliferation...
Advances in the field of microarray technology have at-tracted a lot of attention in recent years. M...
Advances in the field of microarray technology have at-tracted a lot of attention in the last years....
Graphical representation may provide effective means of making sense of the complexity and sheer vol...
Abstract—Graphical representation may provide effective means of making sense of the complexity and ...
Microarray data represents the expression levels of genes for differ-ent samples and for different c...
Scientific visualization has proved to be highly ef-fective in data mining applications. It is widel...
Graphical representation may provide effective means of making sense of the complexity and sheer vol...
BACKGROUND: The most common method of identifying groups of functionally related genes in microarray...
Background: The most common method of identifying groups of functionally related genes in microarray...
Abstract Background When publishing large-scale microarray datasets, it is of great value to create ...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
Abstract Background Gene-list annotations are critical for researchers to explore the complex relati...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
The need for novel methods of visualizing microarray data is growing. New perspectives are beneficia...
The availability of genomic data is increasing exponentially. This is magnified by the proliferation...