相关实验视频

Updated: Sep 11, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

2.7K

SMDPG:通过优化负采样和稀疏图卷积网络识别代谢物-疾病关联.

Yiran Huang, Qiulong Pu, Wei Lan

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    这项研究介绍了SMDPG,这是一种用于预测代谢物与疾病相关性的新计算方法. 通过优化负样本和使用稀疏图形卷积网络,SMDPG提高了疾病诊断和治疗的预测准确性.

    更多相关视频

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports07:35

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

    Published on: October 13, 2023

    1.7K
    A Strategy for Sensitive, Large Scale Quantitative Metabolomics14:18

    A Strategy for Sensitive, Large Scale Quantitative Metabolomics

    Published on: May 27, 2014

    21.1K

    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...
    14.2K