Data Mining, a Tool for Systems Biology or a Systems Biology Tool
Titel:
Data Mining, a Tool for Systems Biology or a Systems Biology Tool
Auteur:
Nicolas Turenne
Verschenen in:
Journal of computer science and systems biology
Paginering:
Jaargang 02 (2009) nr. 04 pagina's 216-218
Jaar:
2009
Inhoud:
In the past ten years, we have witnessed revolutionary changes in biomedical research and biotechnology. There has also been an explosive growth of biomedical data, ranging from those collected in pharmaceutical studies and lifescience investigations, to those identified in “omics” research by discovering sequential patterns, gene functions, and protein- protein interactions. The rapid progress of biotechnology and biological data analysis methods has led to the emergence and fast growth of a promising field, namely, systems biology. Systems biology is based on the understanding that the behavior of the whole is greater than would be expected from the sum of its parts. The field is not new, but is regaining some interest for network analysis as a reachable but mysterious, large-scale genomic structure. Thus, the ultimate goal of systems biology is to predict the behavior of the whole system on the basis of the list of components involved. On the other hand, recent progress in data miningresearch has led to the development of numerous efficient and scalable methods for mining interesting patterns and knowledge in large databases, ranging from efficient classification methods to clustering, outlier analysis, frequent, sequential, and structured pattern analysis methods, and visualization and spatial/temporal data analysis tools.
Tijdschrift beschrijving