We have previously presented a data-oriented approach to the study of microRNA-gene interactions, a hot topic of research in molecular biology, building heavily on methods from the document analysis field. This paper evaluates the
performances of the method by means of a cross-validation approach. Latent information can be effectively exploited to suggest directions for laboratory experiments, an important topic in microRNA research, since these experiments are costly in both resources and time
