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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
- 00:04Introduction
- 01:09Running the Docker Container
- 01:53Preparing the Diseases and Proteins
- 03:16Analyzing the Results
- 04:20Predictive Analysis
- 05:40Results: Top Protein‐Disease and Pathway‐Disease Associations and Application of Deep Learning for Knowledge Graph Completion
- 06:40Conclusion
Se presenta un protocolo computacional, CaseOLAP LIFT, y un caso de uso para investigar las proteínas mitocondriales y sus asociaciones con las enfermedades cardiovasculares descritas en los informes biomédicos. Este protocolo se puede adaptar fácilmente para estudiar los componentes celulares y las enfermedades seleccionadas por el usuario.
