Raw p-value distribution from limma analysis by a mouse click
limma分析,通过鼠标点击原料的P-值分布
译者:生物统计家园网 机器人LoveR
描述----------Description----------
This function allow to visualize the histogram of raw p-value distribution generated by limma analysis.
此功能允许可视化产生limma分析原材料的P-值分布直方图。
用法----------Usage----------
rawpCheck()
Details
详情----------Details----------
The histogram of raw p-value distribution will show if raw p-values are uniform in the non significant range and therefore the BH correction can be applied.
如果原材料p值是统一的,在非重大范围,因此可用于波黑校正原料的P-值分布直方图将显示。
注意----------Note----------
BH is the most used method for the correction of type I errors in microarray analysis. However, it has some limitation due to the initial hypotheses: The gene expressions are independent from each other. The raw distribution of p values should be uniform in the non significant range.
波黑是最常用的方法为I型基因芯片分析中的错误校正。但是,它有一定的局限性,由于最初的假设:基因表达是相互独立。 p值的原料分布要均匀,在非重大范围。