Universal Single-Cell Transcriptomic Aging Clock powered by LLMs reveals targets to slow cellular aging

Abstract

Large language models such as GPT have shown impressive performance in capturing structure and meaning from natural language. We adapt this capability to biology by representing single-cell transcriptomes as ordered sequences of gene names, analogous to sentences in text.