期刊
NUCLEIC ACIDS RESEARCH
卷 46, 期 3, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkx1113
关键词
-
资金
- National Institutes of Health [R03CA212964, R01CA194697, R01CA197128]
Cell types in cell populations change as the condition changes: some cell types die out, new cell types may emerge and surviving cell types evolve to adapt to the new condition. Using single-cell RNA-sequencing data that measure the gene expression of cells before and after the condition change, we propose an algorithm, SparseDC, which identifies cell types, traces their changes across conditions and identifies genes which are marker genes for these changes. By solving a unified optimization problem, SparseDC completes all three tasks simultaneously. SparseDC is highly computationally efficient and demonstrates its accuracy on both simulated and real data.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据