还有一个beta-value矩阵,一样的格式,就不展示了。 snv 如果你使用的表型数据是突变数据,那就更简单了,这里还是以TCGA-BLCA的突变数据为例。 直接使用easyTCGA1行代码下载突变数据: library(easyTCGA) getsnvmaf("TCGA-BLCA") 药敏数据还是和上面一样的,把突变数据直接加载进来就可以进行计算了。 因为这里使用的...
Pos:a position specifier for the text. If specified this overrides any adj value given. Values of 1, 2, 3 and 4, respectively indicate positions below, to the left of, above and to the right of the specified coordinates.,1表示下方,2表示左方,3表示上方,4表示右方。 Labels: a character v...
About 45 million Americans have lost their jobs since mid-March due to the COVID-19 pandemic. The country's GDP dropped by nearly five percent in the first quarter. CGTN discussed this issue with Pavlina Tcherneva, associate professor of economics at Bard College....
The prediction intervals are for a single observation at each case in newdata (or by default, the data used for the fit) with error variance(s) pred.var. This can be a multiple of res.var, the estimated value of σ^2: the default is to assume that future observations have the same ...
def name(self,value): if not isinstance(value,str): #在设定值之前进行类型检查 raise TypeError('%s must be str' %value) self.__NAME=value #通过类型检查后,将值value存放到真实的位置self.__NAME @name.deleter def name(self): raise TypeError('Can not delete') ...
Kernel data type Minimum—Minimum kernel computation value for range checking [](default) | scalar Kernel data type Maximum—Maximum kernel computation value for range checking [](default) | scalar Block Characteristics Data Types Boolean|double|fixed point|half|integer|single ...
To calculate the accuracy of the reward-oriented model we chose the highest q-value in each time point as the model’s prediction, and compared it to the participant’s actual choice. The model’s accuracy was not calculated for trials where the participant did not make a choice. For ...
library(gaussplotR)## Load the sample data setdata(gaussplot_sample_data)## The raw data we'd like to use are in columns 1:3samp_dat<-gaussplot_sample_data[,1:3]### Example 1: Unconstrained elliptical ### This fits an unconstrained elliptical by defaultgauss_fit_ue<-fit_gaussian_...
Finally, we evaluated the prognostic value of the top RF predictors derived through this work in different cancer types from The Cancer Genome Atlas (TCGA) dataset. To this end, we applied the classifiers that were trained on the Liu data based on mutations within the four selected biological ...
prediction models given a user's input of model discrimination (AUC) - the process to transform the AUC to a Cohen's D value is proposed herehttp://dx.doi.org/10.5093/ejpalc2018a5and we have a journal article currently under review which uses it for the same purpose as in this package...