GEARS Explained: How Graph Neural Networks Predict the Unseen
A deep dive into the model that can forecast what happens when you knock out genes nobody has ever touched. The Problem You’re a biologist. You have a Perturb-seq dataset — 100,000 cells, each with one or two genes CRISPR-knocked out, plus single-cell RNA-seq readouts of the full transcriptome. You’ve experimentally perturbed 100 single genes and 130 two-gene combos. But there are 4,950 untested pairwise combinations. Running them all would cost a fortune. ...