GPT-4 for identifying cell types in single cells matches and sometimes outperforms expert methods

GPT-4 can accurately interpret types of cells important for the analysis of single-cell RNA sequencing—a sequencing process fundamental to interpreting cell types—with high consistency to that of time-consuming manual annotation by human experts of gene information, according to a study at Columbia University Mailman School of Public Health. The findings are published in the journal Nature Methods.