Objective: Quantification of disease-disease association (DDA) enables the understanding
of disease relationships for discovering disease progression and finding comorbidity. For …

To cope with the rapid growth of scientific publications and data in biomedical research,
knowledge graphs (KGs) have emerged as a powerful data structure for integrating large …

A significant part of our knowledge is relationships between two terms. However, most of
these information is documented as unstructured text in various forms, like books, online …

Background: Research on disease-disease association (DDA), like comorbidity and
complication, provides important insights into disease treatment and drug discovery, and a …

Most natural language processing applications exhibit a trade-off between precision and
recall. In some use cases for natural language processing, there are reasons to prefer to tilt …

Abstract Human genome contains ca. 20,000 protein-coding genes that could be translated
into millions of unique protein species (proteoforms). Proteoforms coded by a. single gene …

Background With the increasing amount of scientific and technical literature available, it has
posed difficulties for deeper knowledge discovery. Biomedical semantic relationship …

Background: Research on disease-disease association, like comorbidity and complication,
provides important insights into disease treatment and drug discovery, and a large body of …

Для человека известно около 20 000 белок-кодирующих генов, которые могут быть
транслированы в миллионы уникальных видов белков (протеоформ). Протеоформы …

Large volumes of genomic data and new scientific discoveries in biomedical research are
being made every day by laboratories in both academia and industry. However, two issues …