Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Abstract Background Named Entity Recognition (NER) is a key task in biomedical text
mining. Accurate NER systems require task-specific, manually-annotated datasets, which …

Multiple mechanisms collaborate for proper regulation of gene expression. One layer of this
regulation is through the clustering of functionally related genes at discrete loci throughout …

Background Text mining (TM) methods have been used extensively to extract relations and
events from the literature. In addition, TM techniques have been used to extract various …

Precise patterns of gene expression are driven by interactions between transcription factors,
regulatory DNA sequences, and chromatin. How DNA mutations affecting any one of these …

A one-to-one correspondence between Fréchet's class of multivariate Bernoulli distribution
with symmetric marginals and the well-known family of Farlie-Gumbel-Morgenstern (FGM) …

All branches of ecology study relationships among and between environmental and
biological variables. However, standard approaches to studying such relationships, based …

The directional dependence between variables using asymmetric copula regression has
drawn much attention in recent years. There are, however, some critical issues which have …

Standard methods for studying the association between two ecologically important variables
provide only a small slice of the information content of the association, but statistical …

The correlation ratio has been used to measure how much the behavior of one variable can
be predicted by the other variable. In this paper, we derive a new expression of the …