在R控制台中,输入以下命令来安装bpcells包: R install.packages("bpcells") 这条命令会从CRAN仓库下载并安装bpcells包。 选择合适的CRAN镜像(如果需要): 在安装过程中,R可能会提示你选择一个CRAN镜像。这通常是一个地理上离你较近的服务器,以加快下载速度。你可以根据自己的需要选择合适的镜像,或者选择默认的...
根据官网的说明,一步步安装,在安装到BPCells这个package的时候,开始出问题,前后折腾了差不多快5天。现在这里做一个分享: 代码语言:bash AI代码解释 1. install BPCells package remotes::install_github("bnprks/BPCells") #error: unable to locate libhdf5. 代码语言:txt AI代码解释 2. 通过查阅官网发现需要...
Fix Rcpp warning created when handling compressed matrices with only one non-zero entry (pull request#123) Fixed discrepancy between default ArchR and BPCells peak calling insertion method, where BPCells defaulted to only using the start of each fragment as opposed to ArchR's method of using bo...
BPCells provides: Efficient storage of single cell datasets via bitpacking compression Fast, disk-backed RNA-seq and ATAC-seq data processing powered by C++ Downstream analysis such as marker genes, and clustering Interoperability with AnnData, 10x datasets, R sparse matrices, and GRanges ...
BPCells / configure.win configure.win4.05 KB 一键复制编辑原始数据按行查看历史 Ben Parks提交于2年前.Additional std::filesystem backwards compatibility #!/bin/sh if[-z$BPCELLS_DEBUG_INSTALL];then ERR=/dev/null else ERR=/dev/stdout set-x ...
Western blot and quantitative PCR were performed on B cells isolated from PBMC to analyze the effect of 3BP2 deficiency on intracellular signals. Results: To determine whether 3BP2 is involved in the pathogenesis of SLE, we examined 3BP2 expression and found that 3BP2 was upregulated at ...
2nd passage, >500,000 cells in Bovine Endothelial Cell Growth Medium containing 10% FBS & 10% DMSO Can be cultured at least 16 doublings 例行更新培養 Please refer to the BPAEC Culture Protocol. 安全信息 儲存類別代碼 11 - Combustible Solids 水污染物質分類(WGK) WGK 3 閃點(°F) Not applicab...
2nd passage, >500,000 cells in Bovine Endothelial Cell Growth Medium containing 10% FBS & 10% DMSO Can be cultured at least 16 doublings 例行更新培養 Please refer to the BPAEC Culture Protocol. 安全資訊 儲存類別代碼 11 - Combustible Solids 水污染物質分類(WGK) WGK 3 閃點(°F) Not applicab...
dataset from mouse lungs and one from mouse muscle, and this information is stored in the $tissue metadata. I converted each assay to v5 using the as() command, wrote the assays to the disk using BPCells, merged the datasets, and then ran the commands from the Integrative Analysis ...
Dear Seurat team, I was using BPCells with Seurat v5 (in beta version) and followed the various vignettes, trying to integrate (in a stream-lined fashion) multiple 10X samples (CellRanger <v3.0.0 output, i.e. samples consisting of featur...