Introduction to scRNA-seq integration Compiled: August 30, 2021 Source: vignettes/integration_introduction.Rmd The joint analysis of two or more single-cell datasets poses unique challenges. In particular, identifying cell populations that are present across multiple datasets can be problematic under stan...
FindIntegrationAnchors()函数使用Seurat对象列表作为输入,来识别anchors。然后使用IntegrateData()函数用识别到的anchors来整合数据集。 immune.anchors<-FindIntegrationAnchors(object.list=ifnb.list,anchor.features=features)# this command creates an 'integrated' data assayimmune.combined<-IntegrateData(anchorset=immun...
The following tutorial is designed to give you an overview of the kinds of comparative analyses on complex cell types that are possible using the Seurat integration procedure. Here, we address a few key goals: 1Create an ‘integrated’ data assay for downstream analysis 2Identify cell types that...
Seurat v4 包含一组方法，用于跨数据集匹配(或“对齐”)共享的细胞群。这些方法首先识别处于匹配生物状态的交叉数据集细胞(“锚”)，可以用于纠正数据集之间的技术差异(即批效应校正)，并在不同实验条件下执行比较scRNA-seq分析。下面，我们使用了两种不同state（ a resting or interferon-stimulated state...
Integration goals The following tutorial is designed to give you an overview of the kinds of comparative analyses on complex cell types that are possible using the Seurat integration procedure. Here, we address a few key goals: 1Create an ‘integrated’ data assay for downstream analysis 2Identify...
Single cell RNA sequencing, an e-book generated by the Bioinformatics team at NYU for mastering NGS analysis, including scRNA-seq analysis. Summary The above is not a comprehensive list. The landscape of single cell data analysis is evolving to incorporate new features. New and exciting tools, ...
Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over the past decade, particularly in developmental biology, cancer, immunology, and neuroscience. Most commercially available scRNA-seq protocols require cells to be re
Single cell RNA sequencing, an e-book generated by the Bioinformatics team at NYU for mastering NGS analysis, including scRNA-seq analysis. Summary The above is not a comprehensive list. The landscape of single cell data analysis is evolving to incorporate new features. New and exciting tools, ...
1. Why single-cell RNA-seq 在人类组织中,细胞类型、状态和相互作用的多样性令人难以置信。为了更好地了解这些组织和现有的细胞类型,单细胞RNA-seq(scRNA-seq)提供了在单个细胞水平上表达基因类型的视角。 Image credit: courtesy of Dr. Ayshwarya Subramanian ...