HRA009301
Title:
Bulk transcriptome dataset of lumbar disc degeneration
Release date:
2025-09-25
Description:
This comprehensive molecular classification of LDD based on transcriptomic analysis revealed biomarkers and pathological phenotypes across distinct subtypes. Machine learning diagnostic prediction models were developed to link molecular classification to clinical features for clincial application.
Data Accessibility:   
Controlled access Request Data
BioProject:
Study type:
Disease Study
Disease name:
degenerative disc disease
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
DAC name:
DCA of DDD
Contact person:
Jin Huaijian
Email:
jinhj8604@163.com
Description:
This DAC is responsible for governing the application and usage of LDD dataset.
Individuals & samples
Submitter:   Liu Peng / liupengd@163.com
Organization:   Daping Hospital of Army Medical University
Submission date:   2024-11-05
Requests:   1