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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 ...

2024/1/22 -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), ...

2024/3/27 -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.

2024/1/8 -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) ...

2024/1/30 -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 ...

2024/5/15 -Here, in brevity, we present what the P value represents, and why and when it should be adjusted. We also show, with worked examples, how to adjust P values for ...

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 ...

2024/4/4 -P-values are a product of hypothesis testing, indicating the 'probability that no effect of an intervention (null hypothesis) has occurred within a population'.

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 ...

2024/4/15 --value is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is ...