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2024/1/22 -Hi, In Seurat FindMarkers(), the Bonferroni correction is conducted based on the total number of genes in the dataset (the row number of the RNA count matrix), ...

2024/5/7 -The simplest adjustment method is called Bonferroni correction: each p value is multiplied by the number of null hypotheses tested, in this case, six. Each ...

2024/1/8 -For example, the adjusted P value for proteins in the example data set is 0.042×(25/5)=0.210; the adjusted P value for white meat is the smaller of 0.041×(25/4) ...

2024/3/27 -Adjusted P values are equal to 1 ... Anyways, I am running a wilcox test across around 3000 genes to calculate differential expression across two types of cells.

2024/1/30 -FDR adjusted p-values and q-values ... I am currently working on adjusting p-values in R using the False Discovery Rate (FDR) method and have encountered some ...

2024/3/25 -A hypothesis is rejected at level α if and only if its adjusted p-value is less than α. In the earlier example using equal weights, the adjusted p-values are ...

2024/2/5 -A p-value is the probability of observing a test statistic that is as or more extreme than the one computed from the data assuming that the relevant null ...

2024/1/21 -The Proteome Discoverer application includes a feature for assessing the significance of differential expression by providing p-values and adjusted p-values for ...

2024/5/8 -The simplest adjustment method is called Bonfer- roni correction: each p value is multiplied by the number of null hypotheses tested, in this case, six. Each ...

2024/3/7 -A corrected P-value represents the alpha (type I assertion rate) you would have to accept to declare that result significant. So, if you want to work under the ...