Integration of scRNA-Seq and bulk RNA-Seq data offers a comprehensive view of the molecular and cellular alterations in KD and highlights potential therapeutic targets for further investigation. Validation and functional studies are warranted to elucidate the roles of the iden...
单细胞测序技术(Single Cell Sequencing)衍生至今,从当初的scRNA-seq,scDNA-seq,一直到目前的scATAC-seq, 单细胞甲基化测序,单细胞蛋白质组测序等测序技术,使得我们对胚胎发育,脑神经科学,以及癌症肿瘤等等的研究中,真正从细胞的层面出发,使得我们能够在细胞的功能层面展开研究,为基因到个体表型的整个影响路径的分析上...
整合不同细胞组成的scRNA-seq数据集; 整合scATAC-seq和scRNA-seq数据集; 整合空间转录组数据和scRNA-seq数据集; 整合多模式数据和(vii) 整合大规模数据. Integrating human dendritic cells from different samples Integrating scRNA-seq and scNuc-seq datasets on mouse brain Integrating scRNA-seq datasets with d...
Here, we develop a strategy to “anchor” diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq ...
Integration of scRNA-Seq and Bulk RNA-Seq to Analyse the Heterogeneity of Ovarian Cancer Immune Cells and Establish a Molecular Risk Model Background:Considerable evidence suggests that the heterogeneity of ovarian cancer (OC) is a major cause of treatment failure. Single-cell RNA sequencing (......
对于两个或多个单细胞数据集的整合问题,Seurat 自带一系列方法用于跨数据集匹配(match) (或“对齐” ,align)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”,anchors),可以用于校正数据集之间的技术差异(如,批次效应校正),也可以用于不同实验条件下的scRNA-seq的比较分析。
Here, we develop a strategy to “anchor” diverse datasets together, enabling us to integrate single-cell measurements not only across scRNA-seq technologies, but also across different modalities. After demonstrating improvement over existing methods for integrating scRNA-seq data, we anchor scRNA-seq...
I am trying to integrate the gene activity matrix of scATAC-seq with scRNA-seq. The gene activity matrix is not obtained from original scATAC-seq data. Rather, it is obtained from imputed scATAC-seq data by a recent method. In integratio...
目前有大于49种的integrate工具可用于scRNA-seq数据的整合,但是缺乏一个量化的对各种方法进行评估选择,以前类似的benchmarking的文章仅仅对低数据量和低复杂度的数据进行了整合和去除batch的评估,不够全面。 实验设计 实验设计FIg 1 13个integrate tasks 通过是否做HVG/scaling 四种方式进行预处理,得到预处理后的结果,之...
1. For real scRNA-seq data, the ranks of known disease genes and prognostic genes, false-positive rates (p-value <0.05) and false discoveries (q-value <0.05) were compared. Throughout this study, we filtered sparsely expressed genes (zero rate > 0.95), considering that genes rarely ...