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Context analysis in microRNA data: A Rosetta Stone approach
Stefano Rovetta, Francesco Masulli, Maura Edelweiss Monville, Giuseppe Russo
135 - 143
10.3233/978-1-60750-692-8-135
Frontiers in Artificial Intelligence and Applications
Volume 226: Neural Nets WIRN10
Abstract

MicroRNAs are a hot topic of research in molecular biology. Their role is however still to be elucidated in full. We present a data-oriented approach to the study of microRNA-gene interactions, building heavily on methods of document analysis. The paper aims at illustrating an approach rather than specific methods of analysis, however some sample results are also presented, which show how latent information can be exploited to suggest directions for laboratory experiments, thus avoiding unnecessary expense in time and resources.

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