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Journal
/
Biochemistry
/
通过生物医学报告
阐明
细胞器通路在疾病中的作用的知识图谱方法
JoVE Journal
Biochemistry
This content is Free Access.
JoVE Journal
Biochemistry
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease
via
Biomedical Reports
Please note that all translations are automatically generated.
Click here for the English version.
通过生物医学报告
阐明
细胞器通路在疾病中的作用的知识图谱方法
DOI:
10.3791/65084-v
•
07:35 min
•
October 13, 2023
•
Alexander R. Pelletier
2,3
,
Dylan Steinecke
3,4
,
Dibakar Sigdel
,
Irsyad Adam
,
J. Harry Caufield
,
Vladimir Guevara-Gonzalez
,
Joseph Ramirez
,
Aarushi Verma
,
Kaitlyn Bali
,
Katherine Downs
,
Wei Wang
2,3
,
Alex Bui
4
,
Peipei Ping
2,3,4,5
1
Department of Physiology
,
UCLA School of Medicine
,
2
Scalable Analytics Institute (ScAi) at Department of Computer Science
,
UCLA School of Engineering
,
3
NIH BRIDGE2AI Center at UCLA & NHLBI Integrated Cardiovascular Data Science Training Program
,
UCLA
,
4
Medical Informatics
,
University of California at Los Angeles (UCLA)
,
5
Department of Medicine (Cardiology)
,
UCLA School of Medicine
Chapters
00:04
Introduction
01:09
Running the Docker Container
01:53
Preparing the Diseases and Proteins
03:16
Analyzing the Results
04:20
Predictive Analysis
05:40
Results: Top Protein‐Disease and Pathway‐Disease Associations and Application of Deep Learning for Knowledge Graph Completion
06:40
Conclusion
Summary
Automatic Translation
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Automatic Translation
介绍了一个计算协议,CaseOLAP LIFT和一个用例,用于研究线粒体蛋白及其与心血管疾病的关联,如生物医学报告中所述。该协议可以很容易地适应研究用户选择的细胞成分和疾病。
Tags
Knowledge Graph
Organellar Pathways
Disease
Biomedical Reports
CaseOLAP LIFT
Protein Disease Associations
Hypothesis Generation
Computational Protocol
GO Term
MeSH Term
Elasticsearch
Text Mining
Gene Ontology
Medical Subject Header
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