最近用R语言画图,plot 函数是用的最多的函数,而他的参数非常繁多,由此总结一下,以供后续方便查阅。 AI检测代码解析 plot(x,y=NULL,type="p",xlim=NULL,ylim=NULL,log="",main=NULL,sub=NULL,xlab=NULL,ylab=NULL,ann=par("ann"),axes=TRUE,frame.plot=axes,panel.first=NULL,panel.last=NULL,asp=NA...
The data type matches the data type of the input data. Algorithms collapse all Reproducibility To provide the best performance, deep learning using a GPU in MATLAB is not guaranteed to be deterministic. Depending on your network architecture, under some conditions you might get different results wh...
主要功能是预测药物反应和药物-基因关联,github的描述:An R package for drug response prediction and drug-gene association prediction. The preparedGDSCandCTRPmatrices for thecalcPhenotype() are located in the oncoPredict OSF. oncoPredict包的作者说他们会持续更新这个包,你们信吗?
The initialCondition object encapsulates the free response of sys, in state-space form, with the corresponding initial state vector. If sys is any other type of linear or nonlinear dynamic model, then ic is an initial state vector, returned as a column vector of size equal to the number of...
Because C and C++ are statically typed languages, you must determine the properties of all variables in the entry-point function at compile time. To specify the data type and exact input array size, pass a MATLAB® expression that represents the set of values with a certain data type and ...
interval = "prediction"时，predict()函数返回的是预测区间。预测区间是指对于给定的新数据点，其真实的...
predict [type] newvar [if] [in] [,options] predict的常用选项有: (一)异常数据诊断 (1)residuals:残差,即观测值与拟合值间的差值; (2)rstudent:学生化残差; 学生化残差又叫T化残差。由于我们建立模型时使用的是样本数据,此时得到的残差标准化后并不服从标准正态分布而是T分布,所以T化残差是删除样本数据...
有了前面的教程:药物预测之认识表达量矩阵和药物IC50的背景知识铺垫,认识了Cancer Therapeutics Response Portal (CTRP) 和 Genomics of Drug Sensitivity in Cancer (GDSC) 两个数据库资源。 现在我们可以尝试一下使用R包之oncoPredict对你的表达量矩阵进行药物反应预测啦!
R 语言的 predict 函数用来根据已经拟合的模型对新的数据进行 预测,常用于对新的值进行建模和分析。它包括以下参数:object: 已经拟合的模型;newdata:一个或多个新数据点;interval:期望模 型具有的可信度区间类型,可以规定“none”、“confidence”、“prediction”;level:可信度水平,默认是 0.95;type:指定预测 结果...
主要功能是预测药物反应和药物-基因关联,github的描述:An R package for drug response prediction and drug-gene association prediction. The prepared GDSC and CTRP matrices for the calcPhenotype() are located in the oncoPredict OSF. oncoPredict包的作者说他们会持续更新这个包,你们信吗? CRAN和github都显示...