A flow cytometry high throughput screening was used to identify biomarkers that would predict the development of GvHD. The GvHD dataset is an extract of a collection of weekly peripheral blood samples obtained from patients following allogenic blood and marrow transplant. Samples were taken at various time points before and after graft.
The format is an object of class
flowSet composed of 35
flowFrame corresponds to one sample at one
The patient Id code
The number of visits to the hospital
The number of days since the graft. Negative values correpond to days before the graft.
Grade of the cancer
This GvHD dataset represents the measurements of one biomarker (leukocyte) for 5 patients over 7 visits (7 time points). The blood samples were labeled with four different fluorescent probes to identify the biomarker and the fluorescent intensity was determined for at least ten thousand cells per sample.
Complete dataset available at http://www.ficcs.org/software.html#Data_Files, the Flow Informatics and Computational Cytometry Society website (FICCS)
Rizzieri DA et al. J Clin Oncol. 2007 Jan 16; [Epub ahead of print] PMID: 17228020
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