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CellMap: precision mapping of cellular landscape in spatial transcriptomics
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DOI：10.1093/nar/gkaf1484.png)
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摘要
En 中文
整合单细胞RNA测序和空间转录组学是当前手动探索细胞混合物景观的迫切需求。在此，我们开发了CellMap（https://github.com/liuhong-jia/CellMap），一种能够将空间转录组学点在单细胞分辨率下解析的计算工具。CellMap结合了包含种子基因共线性、随机森林模型和线性分配算法的策略，以实现单细胞到空间点的最优分配。通过跨不同平台和组织类型的全面基准测试，我们证明了CellMap优于现有方法。
Keyword:
SINGLE-CELL
ARCHITECTURE
REVEALS
SEQ
IMMUNOTHERAPY
DIVERSITY
ATLAS
期刊
IF:
13.1
论文数:
3.6W
被引数:
29.0W
机构
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