Two new techniques now available to explore such inter-cellular transcriptomic diversity are single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics. This chapter reviews the computational analysis involved in scRNA-seq studies. We list and describe the computational algorithms and software ...
题目:bridging data and dynamics in single cells through machine learning 时间: 10月10日星期二 11:00 地点:校本部教二楼 309 reports 摘要 part/2 the rapid development of single-cell sequencing technologies provides unprecedented resolut...
Single-cell transcriptome sequencing, often referred to as single-cell RNA sequencing (scRNA-seq), is used to measure gene expression at the single-cell level and provides a higher resolution of cellular differences than bulk RNA-seq. With more detailed and accurate information, scRNA-seq will ...
The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic strategies. With the expansion of capacity for high-throughput scRNA-seq, including clinical sa...
Single-cell 工作流程OVERVIEW ingle cell sequencing (taken from Wikipedia) 原理 以Nanoliter Droplets方法为例: Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets overview 首先是组织处理得到单细胞,包裹在单个的microparticle里面,而microparticle里面又存有包含polyT的beads,...
single-cell和bulk RNA测序数据的综合分析揭示了免疫相关lncRNA-mRNA在三阴性乳腺癌中的预后信号 李鲜森BMbios 普普通通简简单单三阴性乳腺癌是一种以广泛的肿瘤异质性为特征的侵袭性亚型肿瘤疾病,目前临床上治疗选择有限,而且病人预后差。本文作者使用细胞类型注释和轨迹分析来识别上皮细胞的两种不同分化状态,并基于...
CellType=cellInfo$SubCluster) saveRDS(cellInfo, file="int/cellInfo.Rds") exprMat<-as....
单细胞RNA测序Single Cell RNA Sequencing vs. Bulk RNA Sequencing 3876 1 7:35:42 App 生肉|Single cell RNA-seq data analysis with R (2019) 单细胞RNA测序数据分析教程 2万 31 31:32 App 30分钟拿下RNA-seq原理、操作方法、分析方法和应用场景 443 -- 3:15:30 App 单细胞RNA-seq ChiPster 6599...
然后这些计数被合并成一个单独的矩阵来构建一个单独的SingleCellExperiment对象。为了方便起见,所有cell的元数据都存储在同一个对象中,供以后访问。 library(SingleCellExperiment)all.counts<-rbind(endo.data$counts,mito.data$counts,spike.data$counts)sce<-SingleCellExperiment(list(counts=all.counts),colData=endo...
单细胞RNA测序(scRNA-seq )是一个飞速发展的领域,该技术帮助科研人员从一堆细胞(bulk)水平精细到单细胞(single-cell)水平研究基因的表达状态,从而可以更加精细的刻画科研对象的分子状态(例如细胞图谱,表达特征等)。目前该领域涌现了一大批用于单细胞RNA测序分析的方法,随着越来越多方法的出现,如何选择和组合使用这些方...