Co-clustering has not been much exploited in biomedical informatics, despite its success in other domains, and most previous applications were limited to analyzing gene expression data. We performed co-clustering analysis on other types of data and obtained promising results, as summarized in this article.
S. Yoon, L. Benini, G. De Micheli (2007). Co-Clustering: A Versatile Tool for Data Analysis in Biomedical Informatics. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 11, Issue 4, 493-494 [10.1109/TITB.2007.897575].
Co-Clustering: A Versatile Tool for Data Analysis in Biomedical Informatics
BENINI, LUCA;
2007
Abstract
Co-clustering has not been much exploited in biomedical informatics, despite its success in other domains, and most previous applications were limited to analyzing gene expression data. We performed co-clustering analysis on other types of data and obtained promising results, as summarized in this article.File in questo prodotto:
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