Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Workflow for the Application of Biclustering to Mass Spectrometry Data
verfasst von : Hugo López-Fernández, Miguel Reboiro-Jato, Sara C. Madeira, Rubén López-Cortés, J. D. Nunes-Miranda, H. M. Santos, Florentino Fdez-Riverola, Daniel Glez-Peña
Erschienen in: 7th International Conference on Practical Applications of Computational Biology & Bioinformatics
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.