Description Introduction Worflow Biclustering with non-gene expression data Author(s) See Also
A package designed to interactively explore biclusters identified in gene expression data.
Clustering genes according to their expression profiles is an important task in analyzing microarray data. ExpressionView allows the user to explore the biclusters together with the underlying data in an interactive environment. The applet requires a browser with Adobe Flash player 10 installed.
The ExpressionView package can treat gene expression data in the form of
a Bioconductor ExpressionSet
. It recognizes
biclusters identified by the Iterative Signature Algorithm (ISA)
implemented in the ISA
package as well as the
methods available in the biclust
package.
The usual workflow consist of three steps:
To arrange the possibly overlapping biclusters in a visually
appealing layout, the gene expression data has to be reordered in such
a way that individual biclusters from contiguous rectangles. The
optimal order is found by the OrderEV
function.
In a second step, the biclusters and all the relevant
biological information are combined and exported to an ExpressionView
XML file. This is done by the ExportEV
function.
The Flash applet is started by the LaunchEV
command. Video tutorials describing the various features of the
applet can be found on the ExpressionView website
(http://www.unil.ch/cbg/ExpressionView).
A tutorial can be found in the accompanying vignette of the package.
Both, the ISA
and the biclustering methods
implemented in the biclust
package can treat any
two-dimensional data, i.e., not necessarily originating from gene
expression profiling. While the ExpressionView package is optimized for
gene expression matrices, it is also possible to explore data stemming
from other sources. For more information, see the description of the
ExportEV
function.
Andreas Lüscher andreas.luescher@a3.epfl.ch
OrderEV
, ExportEV
and
LaunchEV
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