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ULMnet:基于单变量线性模型的scRNAseq数据物理性细胞互作网络推断新方法
本文推荐一种创新计算方法ULMnet,该技术利用单变量线性模型(ulm)从单细胞RNA测序(scRNAseq)数据中识别多重捕获细胞(multiplets),解析其细胞组成,并推断组织中的物理性细胞互作网络。研究通过FACS分选双细胞对验证显示高精确度(~99%),在部分解离组织 ...
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