gMap: extracting and interactively visualizing nonlinear relationships of genes from expression data
نویسندگان
چکیده
DNA micro-array technologies has made it possible to monitor the expression of thousands of genes across a set of conditions or cases simultaneously, enabling us to study the functional or regulatory relationship among genes. Assuming that genes with similar expression profiles have similar functions or are located in the same regulatory pathway, various methods of gene clustering and dimension reduction by projection, are commonly used to extract and represent the underlying knowledge. Two critical problems of theses methods are measuring relationships between genes and visualizing the relationships discovered in a straightforward manner.
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