Cancer still represents one of the leading causes of death worldwide, resulting in a
considerable healthcare impact. Recent research efforts from the clinical and molecular …

At different stages of any research project, molecular biologists need to choose—often
somewhat arbitrarily, even after careful statistical data analysis—which genes or proteins to …

Pretraining large neural language models, such as BERT, has led to impressive gains on
many natural language processing (NLP) tasks. However, most pretraining efforts focus on …

Abstract The Biological General Repository for Interaction Datasets (BioGRID:
http//thebiogrid. org) is an open access archive of genetic and protein interactions that are …

One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …

Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

Public datasets are often used to evaluate the efficacy and generalizability of state-of-the-art
methods for many tasks in natural language processing (NLP). However, the presence of …

Background Biomedical knowledge bases (KB's) have become important assets in life
sciences. Prior work on KB construction has three major limitations. First, most biomedical …

Background Scientific publications are documentary representations of defeasible
arguments, supported by data and repeatable methods. They are the essential mediating …

Molecular biology has become heavily dependent on biological knowledge encoded in
expert curated biological databases. As the volume of biological literature increases …