相关实验视频

Updated: Jul 21, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K

可视化自动组合的疾病地图和罕见疾病的路径图

Piotr Gawron1, David Hoksza1,2, Janet Piñero3,4,5

  • 1Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg, Luxembourg.

Frontiers in bioinformatics
|July 28, 2023
PubMed
概括

这项研究引入了一种自动化工作流程,用于构建罕见疾病的分子机制图. 它将多样化的路径图集成到一个统一的资源中,帮助研究人员生成假设和数据可视化.

关键词:
疾病地图 疾病地图基因疾病与基因疾病的关联路径图,路径图.罕见疾病 (RD) 是一种罕见的疾病.系统生物医学生物医学

更多相关视频

A Web Tool for Generating High Quality Machine-readable Biological Pathways08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.7K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K

相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.6K