第一步 切出神经细胞1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192939495969798991

第九步 提取Neuron细胞群12sc_Neuron <- subset(x = scRNA, integrated_snn_res.0.5 %in% c("2","6","8","11","13","15"))saveRDS(sc_Neuron, "sc_Neu

第五步 手动标注 (一) marker表达可视化12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929

第一步 查看数据构成123456789101112131415161718192021222324252627282930library(RColorBrewer)library(ggplot2)blank_theme <- theme_minimal()+ theme( axis.title.x = element_blank(), axis.text.x

Slides FileGood morning, everyone. I appreciate the opportunity to be with you today. I am here to briefly introduce to you spatial transcriptomics, a bioinformatics technology, and its significance f

第一步 进入对应的癌症页面 第二步 查看所需的Project 第三步 下载所需的分组1234567891011121314151617181920212223242526272829303132333435363738394041424344454647# 一般的前列腺癌 GDC Data Portal 是 hg38 的PRAD <- GDCquery(project = 'TCG

第一步 安装程辑包并加载123456789options(BioC_mirror="https://mirrors.tuna.tsinghua.edu.cn/bioconductor")BiocManager::install("TCGAbiolinks")# 加载响应的包，默认已经安装好TCGAbiolinks包library(TCGAbiolinks)l

下载并上传对应的rpm包 12345# 解压RPM包 到当前目录rpm2cpio google-chrome-stable_current_x86_64.rpm cpio -idvm# 创建链接ln -s /home/rqzhang/zlliu/dev/chrome/opt/google/chrome/chrome /home/rqzhang/zlliu/bin/

第一步 安装jupyter模块12pip3.8 install jupyter -i https://pypi.tuna.tsinghua.edu.cn/simpleln -s /home/rqzhang/zlliu/dev/python38/bin/jupyter /home/rqzhang/zlliu/bin/jupyter38 第二步 开启代码提示12345pip3.8 install -

第一步 安装依赖 编译安装sqlite3 下载源文件：SQLite Download Page 1234567wget https://www.sqlite.org/snapshot/sqlite-snapshot-202108231028.tar.gztar -zxvf sqlite-snapshot-202108231028.tar.gz ./configure --prefix=/home