Vaida Jakoniene, Patrick Lambrix:
A Tool for Evaluating Strategies for Grouping of Biological Data.
Abstract
During the last decade an enormous amount of biological data
has been generated and techniques and tools to analyze this data have been
developed. Many of these tools use some form of grouping and are used in,
for instance, data integration, data cleaning, prediction of protein
functionality, and correlation of genes based on microarray data. A number
of aspects influence the quality of the grouping results: the data
sources, the grouping attributes and the algorithms implementing the
grouping procedure. Many methods exist, but it is often not clear which
methods perform best for which grouping tasks. The study of the
properties, and the evaluation and the comparison of the different aspects
that influence the quality of the grouping results, would give us valuable
insight in how the grouping procedures could be used in the best way. It
would also lead to recommendations on how to improve the current
procedures and develop new procedures. To be able to perform such studies
and evaluations we need environments that allow us to compare and evaluate
different grouping strategies. In this paper we present a framework,
KitEGA, for such an environment, and present its current prototype
implementation. We illustrate its use by comparing grouping strategies for
classifying proteins regarding biological function and isozymes.
URL:
http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2007-078
@article{REWERSE-RP-2007-078, author = {Vaida Jakoniene and Patrick Lambrix}, title = {A Tool for Evaluating Strategies for Grouping of Biological Data}, journal = {Journal of Integrative Bioinformatics}, year = {2007}, volume = {4}, number = {3}, url = {http://rewerse.net/publications/rewerse-publications.html#REWERSE-RP-2007-078} }