Yaping Gao

Decoding cancer circulating transcriptomic signatures with language models

GeneLLM is presented, a Transformer-based model that directly processes the nucleotide sequences of human-mapped cfRNA reads to identify cancer-indicative signatures and allows accurate cancer classification from plasma biopsies, suggesting that sequence-level modelling of plasma cfRNA can capture diagnostically relevant information beyond annotation-dependent approaches.