7th International Conference on Practical Applications of Computational Biology & Bioinformatics pp 145-153 | Cite as
A Workflow for the Application of Biclustering to Mass Spectrometry Data
Abstract
Biclustering techniques have been successfully applied to analyze microarray data and they begin to be applied to the analysis of mass spectrometry data, a high-throughput technology for proteomic data analysis which has been an active research area during the last years. In this work, we propose a novel workflow to the application of biclustering to MALDI-TOF mass spectrometry data, supported by a software desktop application which covering all of its stages. We evaluate the adequacy of applying biclustering to analyze mass spectrometry by comparing between biclustering and hierarchical clustering over two real datasets. Results are promising since they revealed the ability of these techniques to extract useful information, opening a door to further works.
Keywords
biclustering mass spectrometry BiMS BiBit BimaxPreview
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