A natural language processing system for the efficient extraction of cell markers
Peng Cheng, Yan Peng, Xiaoling Zhang, Sheng Chen, Bin-Bin Fang, Yan-Ze Li, Yimin Sun
This study develops MarkerGeneBERT, an NLP system that extracts cell markers from scRNA-seq literature, achieving 76% completeness and 75% accuracy in marker gene identification.
Scientific Reports · Sep 11, 2024Peer-reviewedBioinformatics