Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, United States.
Ragon Institute of Massachusetts General Hospital, MIT and Harvard, Cambridge, United States.
Elife. 2017 Mar 23;6:e25654. doi: 10.7554/eLife.25654.
A combination of single-cell techniques and computational analysis enables the simultaneous discovery of cell states, lineage relationships and the genes that control developmental decisions.
单细胞技术与计算分析的结合使同时发现细胞状态、谱系关系以及控制发育决策的基因成为可能。