Extract of a Graft versus Host Disease monitoring experiment
提取的移植抗宿主病监测实验
译者：生物统计家园网 机器人LoveR
描述----------Description----------
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.
一个流式单元仪的高通量筛选被用来确定生物标志物，可以预测移植物抗宿主病的发展。 GVHD集是每周异体血液和骨髓移植后的病人的外周血样本收集的摘录。样品在不同时间点前后移植。
用法----------Usage----------
data(GvHD)
格式----------Format----------
The format is an object of class flowSet composed of 35 flowFrames. Each flowFrame corresponds to one sample at one time point. The phenodata lists:
格式是flowSet35flowFrames组成一个类的对象。每个flowFrame对应一个样本在某一时间点。 phenodata名单：
Patient The patient Id code
病人，病人的ID码
Visit The number of visits to the hospital
到医院参观访问
Days The number of days since the graft. Negative values
天数天以来的移植。负值
Grade Grade of the cancer
一级级的癌症
Details
详情----------Details----------
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.
这种移植物抗宿主病的集代表超过7次访问为5例（7个时间点）的一个标志物（白单元）的测量。四个不同的荧光探针标记的血液样本，以确定生物标志物，并确定至少10万个单元样品荧光强度。
源----------Source----------
Complete dataset available at http://www.ficcs.org/software.html#Data_Files, the Flow Informatics and Computational Cytometry Society website (FICCS)
完整的数据集在http://www.ficcs.org/software.html＃Data_Files，流信息和计算流式单元术协会网站（FICCS）
发表于 2012-2-25 17:44:02
