Application of single-cell foundation model (scFM) embeddings — Ali Oku · New York Genome Center

Foundation models trained on millions of single cells turn a cell's expression profile into an embedding — a vector you can compute with. Ali works with these models as a bioinformatics analyst at the New York Genome Center, and will walk through what the embeddings actually capture, where they help, and where they mislead.