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Publication

Identification of gene biomarkers for brain diseases via multi-network topological semantics extraction and graph convolutional network.

Ping Zhang | Weihan Zhang | Weicheng Sun | Jinsheng Xu | Hua Hu | Lei Wang | Leon Wong
BMC genomics | 2024

Brain diseases pose a significant threat to human health, and various network-based methods have been proposed for identifying gene biomarkers associated with these diseases. However, the brain is a complex system, and extracting topological semantics from different brain networks is necessary yet challenging to identify pathogenic genes for brain diseases.

Pubmed ID: 38350848

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None found

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Antibodies used in this publication

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Associated grants

  • Agency: Guangxi Science and Technology Base and Talent Special Project,
    Id: 2021AC19394 and 2021AC19354
  • Agency: Guangxi Science and Technology Base and Talent Special Project,
    Id: 2021AC19394 and 2021AC19354
  • Agency: Guangxi Science and Technology Base and Talent Special Project,
    Id: 2021AC19394 and 2021AC19354
  • Agency: Natural Science Foundation of Guangxi,
    Id: 2022JJD170019
  • Agency: Natural Science Foundation of Guangxi,
    Id: 2022JJD170019
  • Agency: Natural Science Foundation of Guangxi,
    Id: 2022JJD170019
  • Agency: Guangxi Postdoctoral Special Funding Project,
    Id: Leon Wong
  • Agency: Guangxi Postdoctoral Special Funding Project,
    Id: Leon Wong
  • Agency: STI 2030-Major Projects,
    Id: 2021ZD0200403
  • Agency: STI 2030-Major Projects,
    Id: 2021ZD0200403
  • Agency: National Natural Science Foundation of China,
    Id: 62172355
  • Agency: National Natural Science Foundation of China,
    Id: 62172355

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This is a list of tools and resources that we have found mentioned in this publication.

DisGeNET (tool)

RRID:SCR_006178

Database and discovery platform containing publicly available collections of genes and variants associated to human diseases. Integrates data from curated repositories, GWAS catalogues, animal models and scientific literature.

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The Stimulating Peripheral Activity to Relieve Conditions (SPARC) effort is the result of National Institutes of Health’s (NIH) drive to map out the neural circuitry responsible for visceral control in higher vertebrates. The SPARC Anatomy Working Group (SAWG) is responsible for the integrity of anatomical knowledge in SPARC

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