March 12, 2024, 4:42 a.m. | Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.05602v1 Announce Type: cross
Abstract: Because protein-protein interactions (PPIs) are crucial to understand living systems, harvesting these data is essential to probe disease development and discern gene/protein functions and biological processes. Some curated datasets contain PPI data derived from the literature and other sources (e.g., IntAct, BioGrid, DIP, and HPRD). However, they are far from exhaustive, and their maintenance is a labor-intensive process. On the other hand, machine learning methods to automate PPI knowledge extraction from the scientific literature have …

arxiv attention biomedical context cs.cl cs.lg information interactions literature protein q-bio.bm relational type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA