1 research outputs found
Evaluation of computer methods for biomarker discovery on computational grids
Background: Discovering biomarkers is a fundamental step to understand
and deal with genetic diseases. Methods using classic Computer Science
algorithms have been adapted in order to support processing large
biological data sets, aiming to find useful information to understand
causing conditions of diseases such as cancer. Results: This paper
describes some promising biomarker discovery methods based on several
grid architectures. Each technique has some features that make it more
suitable for a particular grid architecture. This matching depends on
the parallelizing capabilities of the method and the resource
availability in each processing/storage node. Conclusion: The study
described in this paper analyzed the performance of biomarker discovery
methods in different grid architectures. We have found some methods are
more suited for certain grid architectures, resulting in significant
performance improvement and producing more accurate results