Single-cell RNA sequencing (scRNA-seq) technologies allow numerous opportunities for revealing novel and potentially unexpected biological discoveries. scRNA-seq clustering helps elucidate cell-to-cell heterogeneity and uncover cell subgroups and cell dynamics at the group level. Two important aspects of ...
简单单小区RNAseq数据聚类(sscClust)是一个实现简单使用聚类管道的包。单细胞RNAseq数据聚类通常由变量基因选择、降维、降维数据聚类等组成。目前,该包还封装了针对单细胞RNAseq数据设计的其他聚类方法,包括SC3、ZinbWave等。 Simpler single cell RNAseq data clustering...
而目前在R中分析single cell RNA-seq 的包有 SingleCellExperiment , scater,Seurat这三个 其中SingleCellExperiment我在之前的推送中讲解过 而scater的分析流程如下:
The count table, a numeric matrix of genes × cells, is the basic input data structure in the analysis of single-cell RNA-sequencing data. A common preprocessing step is to adjust the counts for variable sampling efficiency and to transform them so
【生信技术】测序数据差异表达分析|导入、加载、整理、分析,RNA-Seq数据的差异分析操作,跟着操作你就对了 231 -- 33:57 App Integrate single-cell RNA-Seq datasets in R using Seurat (CCA) 575 -- 12:56 App (字幕)Single Cell RNA Seqencing(scRNAseq)原理 - Finding a cure for DIPG 1028 -- 9:...
Single Cell RNAseq Stem Cells Systems biology Before you begin This protocol describes a method for analyzing single-cell RNA sequencing (scRNA-seq) datasets using an R package called SingCellaR. In addition to standard functions (e.g., reading gene expression matrices, data filtering, doublet ...
从这个系列开始，我们将跟着一篇《Cell》文章学习单细胞转录组数据的下游分析，以及下游分析数据的个性化...
最厉害,最全,最新的莫过于Sean Davis小哥在Github上建的awesome-single-cell repository资源库: seandavi/awesome-single-cell 针对于初入门者的single-cell RNA-seq数据分析在线课程资料: Analysis of single…
scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets scGate is an R package that automatizes the typical manual marker-based approach to cell type annotation, to enable accurate and intuitive purification of a cell population of interest from a complex sc...
[论文笔记] :MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions 论文是一种非参数方法将细胞分为不相交的细胞团,同时避免数据平滑 整个算法流程为: 1. 原始矩阵进行特征选择 2. 构建平衡KNN图:如果我们用传统的相似性网络作为基因的co-expr网络的时候,每个节点根据阈值的选择,不同节...