我们在生物数据统计分析中,经常会听到p-value,adjusted p-value,q-value以及False discovery rate(FDR)。比如最常见实验组和对照组的差异基因表达分析,除了获得一个p值(p-value),通常而言还会得到一个adjusted p-value或者FDR(false discovery rate)。那么他们之间到底有什么关系,为什么已经有了一个p-value来指征显...
总之，理解并正确使用这些指标，如p-value、adjusted p-value（q-value）和FDR，对于防止因多重检验导致的误导性结果至关重要。在进行大规模数据分析时，需要综合考虑这些指标，以确保科研结论的准确性和可靠性。
The FDR is very different from a p-value, and as such a much higher FDR can be tolerated than with a p-value. In the example above a set of 100 predictions of which 70 are correct might be very useful, especially if there are thousands of genes on the array most of which are not...
EdgeR则需要用Cox-Reid profile-adjusted likelihood (CR)方法来估算离散度,y <- estimateDisp(y, design)或者分别使用三个函数(y <- estimateGLMCommonDisp(y, design),y <- estimateGLMTrendedDisp(y, design), )y <- estimateGLMTagwiseDisp(y, design);然后差异表达分析也跟单因素分析不同,主要使用gener...
p.value和FDR 首先我们需亚了解差异表达分析的基本假设: H0:差别是由抽样误差所致; H1:差别不是由抽样误差所致,即并不来自同一总体 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ###这里我用到哈佛大学统计的一个数据集library(devtools)install_github("genomicsclass/GSE5859Subset")##加载对应的包和数据...
elementto this, and it's open to debate how quickly research would progress if this standard were adjusted.At least one of the approaches noted below (false discovery rate control, or FDR) suggests an alternativestandard that does not meet this criterion, but could be viewed as preferable. ...
(imagine the projector wasn't working), the probability of seeing so much asa single voxel above statistical threshold should be 0.05. There is obviously an arbitrary elementto this, and it's open to debate how quickly research would progress if this standard were adjusted.At least one of ...
adjusted_p_values = np.zeros(n) for i in range(n): adjusted_p_values[i] = sorted_p_values[i] * n / (i + 1) # 确保调整后的p值是单调递增的 for i in range(n - 1, 0, -1): adjusted_p_values[i - 1] = min(adjusted_p_values[i - 1], adjusted_p_values[i]) ...
arraymostofwhicharenotdifferentiallyexpressed.Incontrastp-valueof.3is generallyunacceptabeinanycircumstance.MeanwhileanFDRofashighas.5or evenhighermightbequitemeaningful. 计算方法请参考: http://stat.ethz.ch/R-manual/R-devel/library/stats/html/p.adjust.html ...
p-value:表示某个基因在分组之间的表达是否差异显著,一般认为p-value<0.05为显著。adjusted p-value:即经过统计学方法校正后的p-value,由于统计学上常用的校正方法包括“BH”、“FDR”等,所以在一些文章中,我们也会看到筛选差异基因的阈值是FDR<0.05。p值越小差异越显著,但直接用adjusted p-value画图的话点会集中...