Department of Cancer Biology and the Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Nat Immunol. 2014 Dec;15(12):1095-7. doi: 10.1038/ni.3034.
The combination of machine-learning tools and mass-cytometry measurements of more than 30 protein markers per cell comprehensively maps cell identity in the heterogeneous myeloid cell system and reveals the global effect of deletion of the gene encoding the receptor for the growth factor GM-CSF.
机器学习工具与单细胞内 30 多种蛋白标志物的质谱流式细胞术测量相结合，全面绘制了异质性髓系细胞系统中的细胞特征图谱，并揭示了生长因子 GM-CSF 受体基因缺失对其的全局影响。
