5 posts
A precise account of the Benjamini-Hochberg step-up procedure: the arithmetic, the assumptions, the code, and the failure modes that matter when you run it on your own RNA-seq or proteomics data.
The number of drug and medical device applications China's national regulator accepted and approved in 2025, and what each count measures.
A working guide to blood biomarker analysis for technically fluent readers: what a single result can and cannot tell you, how to separate biological variation from signal, and how to structure your own longitudinal data.
How to run a genome-wide association study in R end to end, from VCF to QC to association testing to polygenic scores, and what you can and cannot do with a single genome.
A post hoc |log2FC| > 1 filter is the wrong tool. Test against a fold-change threshold directly with DESeq2's lfcThreshold or edgeR's glmTreat, shrink effect sizes before ranking, and pick the threshold from your own replicate structure.