Motivation: Biomedical researchers often search through massive catalogues of literature to
look for potential relationships between genes and diseases. Given the rapid growth of …

Harvard recently developed a freely accessible automated literaturemining tool, termed
MedGene, that comprehensively summarizes the relationships among over 50,000 named …

Finding, exploring and filtering frequent sentence-based associations between a disease
and a biomedical entity, co-mentioned in disease-related PubMed literature, is a challenge …

The scientific knowledge about which genes are involved in which diseases grows rapidly,
which makes it difficult to keep up with new publications and genetics datasets. The …

Over one million new biomedical articles are published every year. Efficient and accurate
text-mining tools are urgently needed to automatically extract knowledge from these articles …

Finding relations between genes and diseases is essential in developing a clinical
diagnosis, treatment, and drug design for diseases. One successful approach for mining the …

Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …

The biomedical literature represents a rich source of biomarker information. However, both
the size of literature databases and their lack of standardization hamper the automatic …

Decoding gene regulatory networks is essential for understanding the mechanisms
underlying many complex diseases. GENET is developed, an automated system designed …

The number of gene‐related databases has been growing largely along with the research
on genes of bioinformatics. Those databases are filled with various gene functions …