Biostatgv

If you test 20,000 genes for association with a disease, you will find 1,000 "significant" results just by random chance (at ( p < 0.05 )).

So, how do scientists find the needle of pathogenic variation in the haystack of benign noise? They don’t use a magnifying glass. They use . biostatgv

Have you run into a confusing p-value in your genomic data recently? Let me know in the comments. If you test 20,000 genes for association with

Welcome to the world of (Biostatistics for Genomic Variation). The Problem with "Seeing" Variants Raw sequencing technology has gotten incredibly cheap. We can read a human genome in a matter of hours. But reading is not understanding. If you test 20