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HRA000782
   HRA000782.xlsx
Title:
Application of a classifier combining bronchial transcriptomics and chest CT features facilitates the diagnostic evaluation of lung cancer in smokers and non-smokers
Release date:
2021-04-20
Description:
We devised a minimal to noninvasive, efficient diagnostic classifier combining chest CT features with gene expression information derived from bronchial brushing in both smokers and non-smokers, which provides supporting evidence for the different mechanisms of cancer development and metastasis associated with smoking. A negative classifier result will help the physician make conservative diagnostic decisions.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA004843
Study type:
Disease Study
Disease name:
lung cancer
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.:
HDAC000475
DAC name:
EPM for Lung Cancer
Contact person:
Shen Huahao
Email:
huahaoshen@zju.edu.cn
Description:
The comfirmation of this DAC is required when requesting this data
Individuals & samples
Files
Request Data
Submitter:   Xia Yang / yxia@zju.edu.cn
Organization:   Second Affiliated Hospital of Zhejiang University School of Medicine
Submission date:   2021-03-31
Requests:   -