根据您提供的错误信息,很可能您想要加载的是名为 SeuratData 的包,而不是 seuratdata。 指出正确的R包名称: 正确的R包名称应为 SeuratData。这个包通常用于访问单细胞RNA测序数据集的注释和预处理版本。 提供安装正确R包的代码示例: 如果您尚未安装 SeuratData 包,可以使用以下代码来安装:R if (!requireNamespace...
每次加载R包让人很烦 可以cd到R/etc/ ,vim Rprofile.site,并写入 点击查看代码 .First<-function(){library(data.table)library(Seurat)library(dplyr)library(ggplot2)library(praise)cat(praise("${EXCLAMATION}! ${EXCLAMATION}! Handsome man,you have done this ${adverb_manner}!"),"\n",praise(),"...
scRNA seq analysis using Seurat V3 R 12 2 bulk_RNA_seq Public RNA seq analysis using Bioconductor (analysis built on limma, edgeR) R 8 2 dsi_guided_projects Public R 2 1 genomics_preprocessing Public 1 RegR Public Materials for Regression Modeling With R Workshop. http://ti...
Single-cell and single-nucleus data comparisons offered striking insights into the dynamic developmental transitions characterizing germline differentiation. We provide datasets compatible with widely used software such as Seurat and Monocle, thereby enriching the functionality of the FCA's web-based data ...
Furthermore, deep learning techniques are also good at handling high dimensional data, which is common for single-cell data. Unfortunately, the backend framework of the well-known Seurat is R, which limits its potential in the deep learning community due to restricted R interface support in the...
The cell identity was defined by the Azimuth (v 0.4.3) algorithm which could infer the cell identity by integrating the research data with published highly credible data by cell-to-cell similarity. 2.3 Differential expression analysis With the results of the Seurat analysis described above, the ...
The initial MOI and detection rate were determined by the fitting method described previously15. To reduce the selective effect, the data from initial cells for each replicate were only considered. Transcriptome analysis Analyses were carried out based on the modules in Crop-seq software, Seurat52,...
Because probabilistic models are often implemented using Python machine-learning libraries, users are often required to interact with interfaces and objects that are lower level in nature than those used in popular environments for single-cell data analysis like Bioconductor6, Seurat7 or Scanpy8. This...
1. 舊版原檔無法讀取但會另建可讀取的新檔:原檔名加上”_Converted” 2. 注意: (1) 舊版必須.enl和.Data一起傳送或是壓縮成.zip傳送至新版 (2) 若使用File→Compressed Library功能,.enlx檔無法讀取亦無法轉成新檔。 【附上實測紀錄】如果我有X9.2以前的Library檔案,想要移轉到X9.3開啟?
scRNA seq analysis using Seurat V3 R 12 2 bulk_RNA_seq Public RNA seq analysis using Bioconductor (analysis built on limma, edgeR) R 8 2 dsi_guided_projects Public R 2 1 genomics_preprocessing Public 1 RegR Public Materials for Regression Modeling With R Workshop. http://ti...