Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Document Server@UHas...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Software development for biclustering methods: The biclust GUI R package

Authors: De Troyer, Ewoud;

Software development for biclustering methods: The biclust GUI R package

Abstract

This thesis is centered around the subject of biclustering which is the simultaneous clustering of genes and conditions in a gene expression matrix. The focus will not be on the actual methods themselves, but on the software development of their implementation in a user-friendly Graphical User Interface. This GUI is packaged as RcmdrPlugin.BiclustGUI which is a plug-in for the already existing R-commander. The report will handle the implementation of several biclustering methods as well as ways to extract diagnostics and plots from the results, all by using the GUI. The second part of the report will handle the implementation of future new biclustering methods or diagnostic tools. Because the framework of RcmdrPlugin.BiclustGUI was created specifically for biclustering, this is can be achieved very easily. Thanks to easy-to-use scripts, developers can freely design their own GUI windows for their methods which can then later be added to RcmdrPlugin.BiclustGUI very quickly by the maintainer. The strength of these scripts lies in the fact that they do not rely on any knowledge of tcltk or Rcmdr which is normally required for creating such windows. This enables RcmdrPlugin.BiclustGUI to quickly gain a vast collection of biclustering methods which will then be accessible by non-R users through a simple point-and-click system. Further, it is also an attractive approach to easily connect biclustering methods with diagnostic and plotting packages to further investigate and visualize bicluster results.

Country
Belgium
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green