five

Data used in SeuratIntegrate paper

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/14288360
下载链接
链接失效反馈
官方服务:
资源简介:
This repository stores the data used to generate hepatocellular carcinoma analyses in the paper presenting SeuratIntegrate. It contains the scripts to reproduce the figure 1 presented in the article.To be able to fully reproduce the results from the paper, one shoud: download all the files install R 4.3.3, with correspondig base R packages (stats, graphics, grDevices, utils, datasets, methods and base) install R packages listed in the file sessionInfo.out install the provided version of SeuratIntegrate. In an R session, run: remotes::install_local("path/to/SeuratIntegrate_0.4.0.tar.gz") install (mini)conda (we used version 23.11.0) if not already install conda environments: conda create -n SeuratIntegrate_bbknn –file SeuratIntegrate_bbknn_package-list.txt conda create -n SeuratIntegrate_scanorama –file SeuratIntegrate_scanorama_package-list.txt make them usable by SeuratIntegrate by opening an R session and: library(SeuratIntegrate) UpdateEnvCache("bbknn", conda.env = "SeuratIntegrate_bbknn", conda.env.is.path = FALSE) UpdateEnvCache("scanorama", conda.env = "SeuratIntegrate_scanorama", conda.env.is.path = FALSE)   Once done, the file integrate.R should produce reproducible results. Note that lines 3 to 6 from integrate.R should be adapted to the user's setup.
创建时间:
2025-01-23
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作