Sign up to save your podcasts
Or
Share Link prediction for biomedical innovation and drug discovery
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Link prediction for biomedical innovation and drug discovery
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
View all episodes
By tv.qiagenbioinformatics.comAre 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