Su M, Pan T, Chen Q Z, et al. Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications[J]. Military Medical Research, 2022, 9(1): 1-24.
Su M, Pan T, Chen Q Z, et al. Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications[J]. Military Medical Research, 2022, 9(1): 1-24.
这些方法的使用也受到其高成本的限制。10x Genomics公司宣布推出Visium HD,这是一种空间转录组学技术,分辨率比经典Visium高400倍,能够在单细胞水平上进行分析。 参考文献 Complex Analysis of Single-Cell RNA Sequencing Data http://weixin.qq.com/r/LBG7oxLEhE-7rVbA90Q_ (二维码自动识别)...
Andrews, T.S., Kiselev, V.Y., McCarthy, D. et al. Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data. Nat Protoc 16, 1–9 (2021).
spleen <-readRDS("seurat.analysis.rds") data <- as(as.matrix(spleen@assays$RNA@counts), 'sparseMatrix') ##此处需要提供绝对的count值。 pd <- new('AnnotatedDataFrame', data = spleen@meta.data) fData <- data.frame(gene_short_name = row.names(data), row.names = row.names(data) ...
(参考文献:SigEMD: A powerful method for differential gene expression analysis in single-cell RNA sequencing data.) 你们还知道哪些方法,或者有什么新的idea,来与小编聊聊吧。 END ↓更多往期精彩内容,点击【以下链接】 用别人的数据,写自己的文章
(参考文献:SigEMD: A powerful method for differential gene expression analysis in single-cell RNA sequencing data.) 你们还知道哪些方法,或者有什么新的idea,来与小编聊聊吧。 许多关注nambou1 W信公众号的朋友都解决了自己在论文发表方面的困惑,顺利的发表了论文,你不去关注一下?
Computational approaches for interpreting scRNA-seq data 单细胞分析分为两个层次: cell level gene level Tools for the visualization and clustering of cells. Tools for the ordering of cells & bifurcation/branch identification Tools for gene-level analysis...
首发公号:国家基因库大数据平台 参考文献 Andrews, T.S., Kiselev, V.Y., McCarthy, D. et al. Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data. Nat Protoc 16, 1–9 (2021).
更多优质内容请点击下方名片,关注“国家基因库大数据平台”公众号 参考文献 Andrews, T.S., Kiselev, V.Y., McCarthy, D. et al. Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data. Nat Protoc 16, 1–9 (2021). 图片均来源于参考文献,如有侵权请联系删除。