Identification of spatial expression trends in single-cell gene expression data

被引：0
|
作者：
Daniel Edsgärd
Per Johnsson
Rickard Sandberg
机构：
[1] Karolinska Institutet,Department of Cell and Molecular Biology
[2] Ludwig Institute for Cancer Research,undefined
来源：
Nature Methods | 2018年 / 15卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
trendsceek identifies genes with significant spatial trends in single-cell spatial expression data, as well as in low-dimensional projections of dissociated single-cell RNA-seq data.
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收藏
页码：339 / 342
页数：3
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