flowClust.res(flowMerge)
flowClust.res()所属R语言包:flowMerge
A flowClust model fitted to the rituximab data for 1:10 clusters.
装有一个flowClust模型到1:10聚类的美罗华数据。
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The Rituximab data set accessible via data(rituximab) in the flowClust package fitted to a flowClust model containing from one to ten components. The results are in the object flowClust.res.
利妥昔单抗的数据集访问通过data(rituximab)flowClust包安装到flowClust模型,从一到十的组件包含。结果对象flowClust.res。
用法----------Usage----------
data(RituximabFlowClustFit)
格式----------Format----------
The format is: flowClust.res is a flowClustList, where each element of the list is a flowClust model of the rituximab data, for K=1 through K=10 components, respectively. The structure of flowClustList and flowClust can be found in the corresponding documentation of the flowClust package. The format of the rituximab data is found in the documentation for that data set.
格式为:flowClust.res是flowClustList,列表中的每个元素是一个flowClustrituximab数据模型K=1通过,<X >组成部分,分别为。结构K=10和flowClustList可以找到相应的文件flowClust包。 flowClust格式数据被发现在该数据集的文档。
Details
详情----------Details----------
The models have been precomputed for use in flowMerge examples to save computation time. flowClust was called on the rituximab data to generate these models with the following command: flowClust.res<-flowClust(rituximab,K=1:10,B=1000,B.init=100,tol=1e-5,tol.init=1e-2,nu=4,randomStart=50,trans=1,nu.est=1).
预先计算模型已在使用flowMerge的例子,以节省计算时间。 flowClust被称为美罗华数据生成这些模型用下面的命令:flowClust.res<-flowClust(rituximab,K=1:10,B=1000,B.init=100,tol=1e-5,tol.init=1e-2,nu=4,randomStart=50,trans=1,nu.est=1)。
源----------Source----------
Gasparetto, M., Gentry, T., Sebti, S., O'Bryan, E., Nimmanapalli, R., Blaskovich, M. A., Bhalla, K., Rizzieri, D., Haaland, P., Dunne, J. and Smith, C. (2004) Identification of compounds that enhance the anti-lymphoma activity of rituximab using flow cytometric high-content screening. J. Immunol. Methods 292,
gasparetto,M.,金特里T.,Sebti,S.,OBryan,大肠杆菌,Nimmanapalli,河,Blaskovich,马,布哈拉,光,Rizzieri,D,Haaland,体育,邓恩,研究史密斯,C.(2004),利妥昔单抗的使用流式单元仪高含量筛选的抗淋巴瘤活性的化合物,提高鉴定。研究免疫。方法292,
举例----------Examples----------
#data(RituximabFlowClustFit)[数据(RituximabFlowClustFit)]
#summary(flowClust.res);[摘要(flowClust.res);]
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注:
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