The function executes maSigPro analysis
功能执行maSigPro分析
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The function creates: 1. Create a regression matrix for the full regression model (make.design.matrix function). 2. Computes the p-value associated to the F-Statistic of the model, which is used to select significant genes (p.vector function). 3. Applies a variable selection procedure to find significant variables for each gene (T.fit function). This will ultimatelly be used to find which are the profile differences between experimental groups. 4. Finally, it generates lists of significant genes according to R-squared of the models (get.siggenes function). To know more about the various steps see maSigPro help.
该函数创建:1。创建一个完整的回归模型的回归(make.design.matrix的函数)矩阵。 2。计算p值相关的F-统计模型,这是用来选择显著基因(p.vector功能)。 3。适用于变量的选择程序,找到每个基因(T.fit功能)显着的变量。这将ultimatelly用来寻找剖面实验组之间的差异。 4。最后,它会产生显著基因的名单,根据模型的R平方(get.siggenes功能)。要知道更多有关的各个步骤看到maSigPro的帮助。