Does FDR assume that all p-values were adequately powered. IE suppose the the hypothesis are that for a coin flip that that p=q=.5, and all the trials had 100 flips vs. a situation where the number of flips in a trial were subject to a mixing distribution, and a large proportion were <= 4 flips, would FDR perform as well in either case? I suspect that the testing procedure could stand to have a smaller m when calculating p(X(i))<alpha*i/m where X is ordered according to ascending p-values.
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The part about this topic feels surprisingly grounded, and the details on the page is the bit that made me slow down. I’d keep <a href="https://kinpict.com/">ai family photo generator</a> bookmarked for later.Today, 06:37 PM -
NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification,...10-30-2026, 06:46 AM
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