eprintid: 34156
rev_number: 11
eprint_status: archive
userid: 4613
dir: disk0/00/03/41/56
datestamp: 2023-12-11 11:50:36
lastmod: 2024-02-06 08:30:22
status_changed: 2023-12-11 11:50:36
type: HD.PhdThesisAb
metadata_visibility: show
creators_name: Ding, Yuntian
title: Development of a pipeline based on immune profiling and machine learning to define cellular biomarkers in patients with steroid-refractory acute graft-versus-host-disease
subjects: ddc-610
divisions: i-910100
adv_faculty: af-05
keywords: Innere Medizin
date: 2023
own_urn: urn:nbn:de:bsz:16-heidok-341568
date_accepted: 2023-11-16
advisor: HASH(0x55602a70d120)
language: ger
bibsort: DINGYUNTIADEVELOPMEN2023
full_text_status: public
citation:   Ding, Yuntian  (2023) Development of a pipeline based on immune profiling and machine learning to define cellular biomarkers in patients with steroid-refractory acute graft-versus-host-disease.  [Abstract of a medical dissertation]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/34156/1/Ding_Yuntian.pdf