In this work, we propose a novel method called SMDPG to leverage optimized negative sampling and sparse graph convolutional network to predict metabolite-disease associations. In SMDPG, we first build ...

Protein-Protein Interaction (PPI ... challenges remain in the field of biological network analysis. High-throughput technologies generate vast amounts of data, necessitating efficient data ...

A Discord bot that monitors the social media for your keywords and send alerts for new mentions. Add this bot using the following link: ...

Bitcoin trades in the green and hovers above $105,000 on Friday after hitting a new all-time high of $109,588 on Monday. CryptoQuant’s weekly report highlights that the demand for BTC from large ...

At close: January 21 at 4:00:02 PM EST ...

This Technical Report presents the current work on network and communication services that has been carried out by different standards development organizations (SDOs) with respect to the Network 2030 ...

In UBC's latest article, Krista Payne and Dara Stein discuss the use of retrospective chart review studies as ... In a database analysis of secondary health data, patients are sampled using ...

After hours: January 24 at 6:15:38 PM EST Loading Chart for PERI ...

Recent research has focused on understanding the mechanisms behind this relationship, particularly how certain metabolites and gut microbiota influence both kidney and heart health. One area of ...