Graph is a natural data structure for describing complex systems, which contains a set of
objects and relationships. Ubiquitous real-life biomedical problems can be modeled as …

The task of predicting the interactions between drugs and targets plays a key role in the
process of drug discovery. There is a need to develop novel and efficient prediction …

Abstract The public Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) is an
innovative digital ecosystem that relates toxicological information for chemicals, genes …

Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) harmonizes
cross-species heterogeneous data for chemical exposures and their biological …

Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) is a premier
public resource for literature-based, manually curated associations between chemicals …

Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly
generate a plethora of data on the activity and levels of biomolecules within mammalian …

Motivation In biomedical research, chemical is an important class of entities, and chemical
named entity recognition (NER) is an important task in the field of biomedical information …

Community-run, formal evaluations and manually annotated text corpora are critically
important for advancing biomedical text-mining research. Recently in BioCreative V, a new …

Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) provides
information about interactions between chemicals and gene products, and their …

Genome-wide association studies of complex physiological traits and diseases consistently
found that associated genetic factors, such as allelic polymorphisms or DNA mutations, only …