QIAGEN OmicSoft and Biomedical Knowledge Base
Link prediction for biomedical innovation and drug discovery
76 views
Are you interested in biomedical knowledge graphs, but don’t know where to start? This webinar will show you how to repurpose drugs and uncover hidden insights with knowledge graphs. Start learning the fundamentals of training embeddings and how to predict links in knowledge graphs. You’ll be able to apply that knowledge towards your biomedical discoveries with advanced machine learning techniques.
In this webinar, you will:
• Meet QIAGEN Biomedical KB-HD, the manually curated knowledge base of over 24 million relationships that powers QIAGEN Ingenuity Pathway Analysis
• Learn about methods for graph link prediction
• Start applying link prediction to graph embeddings with PyKEEN
• See the results of applying link prediction towards indication expansion for a TLR7 inhibitor
Related videos
QIAGEN OmicSoft and Biomedical Knowledge Base
Knowledge graphs and more: Analytics-driven drug discovery using advanced biomedical...
High-quality biomedical relationships knowledge is the cornerstone of modern...
QIAGEN OmicSoft and Biomedical Knowledge Base
QIAGEN OmicSoft trainings- 3 part series - Oct 20 (part 1)
In three separate 60-minute trainings, attendees will learn how to use basic...
QIAGEN OmicSoft and Biomedical Knowledge Base
Expression data analysis using QIAGEN Omicsoft Studio - Sep 28 2021
In this training, users will learn how to generate downstream outputs such...