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HRA005008
   HRA005008.xlsx
Title:
Unsupervised machine learning algorithm on chemotherapeutic drug resistance targets in Acute Myeloid Leukemia
Release date:
2025-07-03
Description:
The clinical goal of this study was creating a scoring system to predict chemotherapy response and the prognosis of the disease, so as to achieve the purpose of early prediction of refractory recurrence of AML and accurate intervention.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA018058
Study type:
Disease Study
Disease name:
acute myeloid leukemia
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.:
HDAC000737
DAC name:
Yingchang Mi
Contact person:
Mi Yingchang
Email:
ychmi@ihcams.ac.cn
Description:
Professor, Department of leukemia, Institute of Hematology Blood Diseases Hospital, Chinese Academy of Medical Sciences
Individuals & samples
Files
Request Data
Submitter:   Mi Yingchang / ychmi@ihcams.ac.cn
Organization:   Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences
Submission date:   2023-07-03
Requests:   -