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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 ...

2024/5/8 -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 ...

2024/5/2 -Do not only report P-values (a mistake frequently made in abstracts). · P is always italicized and capitalized. · Do not use 0 before the decimal point for ...

5日前 -pval – an enrichment p-value;. • padj – a BH-adjusted p-value;. • ES – enrichment score, same as in Broad GSEA implementation;. • NES – enrichment score ...

2024/5/5 -Adjust p-Value for Multiple Tests. Description. Given an AssocTestResultRanges object, this method adds a metadata column with adjusted p-values.

2024/5/14 -A Bonferroni adjusted p-value can be calculated by multiply each p- value with the number of performed tests (i.e. ). Interpretation: If we perform  ...

2024/4/29 -The quantile-quantile plot shows the \(-log_{10}\) transformed P-values. Default values are raw, not controlled for bias and inflation, z-scores and P-values.

2024/4/23 -I would like to understand 1. which adjustment I should perform here. 2. how to decide which test I should perform for any other analysis (what is the reasoning) ...

2024/4/25 -The unadjusted p-values are presented and using the Bonferroni correction would require a p < 0.0167 to be significant. In addition, 98.3% Confidence Intervals ...

2024/5/1 -... adjusted p-value is too confusing for product labels. So most of the time, the actual original p-values are presented and then they're identified as either ...