Data analysis methods and techniques are revisited in the case of biological data sets. Particular emphasis is given to clustering and mining issues. Clustering is still a subject of active research in several fields such as statistics, pattern recognition, and machine learning. Data mining adds to clustering the complications of very large data-sets with many attributes of different types. And this is a typical situation in biology. Some cases studies are also described. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Di Gesù, V. (2007). Data analysis and bioinformatics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4815 LNCS, pp. 373–388). Springer Verlag. https://doi.org/10.1007/978-3-540-77046-6_47
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