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DOI :
10.3791/65084-v
•
7:35 min
October 13th, 2023
Chapters
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
생물 의학 보고서에 설명된 대로 미토콘드리아 단백질 및 심혈관 질환과의 연관성을 조사하기 위한 계산 프로토콜인 CaseOLAP LIFT 및 사용 사례가 제시됩니다. 이 프로토콜은 사용자가 선택한 세포 구성 요소 및 질병을 연구하는 데 쉽게 적용할 수 있습니다.
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