A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
1.5K Views
•
07:35 min
•
October 13th, 2023
DOI :
October 13th, 2023
•Alexander R. Pelletier1,2,3, Dylan Steinecke1,3,4, Dibakar Sigdel1, Irsyad Adam1, J. Harry Caufield1, Vladimir Guevara-Gonzalez1, Joseph Ramirez1, Aarushi Verma1, Kaitlyn Bali1, Katherine Downs1, Wei Wang1,2,3, Alex Bui3,4, Peipei Ping1,2,3,4,5
1Department of Physiology, UCLA School of Medicine, 2Scalable Analytics Institute (ScAi) at Department of Computer Science, UCLA School of Engineering, 3NIH BRIDGE2AI Center at UCLA & NHLBI Integrated Cardiovascular Data Science Training Program, UCLA, 4Medical Informatics, University of California at Los Angeles (UCLA), 5Department of Medicine (Cardiology), UCLA School of Medicine
Chapters in this video
0:04
Introduction
1:09
Running the Docker Container
1:53
Preparing the Diseases and Proteins
3:16
Analyzing the Results
4:20
Predictive Analysis
5:40
Results: Top Protein‐Disease and Pathway‐Disease Associations and Application of Deep Learning for Knowledge Graph Completion
6:40
Conclusion
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