
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
https://travis-ci.org/fboehm/hotspots.svg?branch=master](https://travis-ci.org/fboehm/hotspots)
The goal of hotspots is to analyze the Keller et al. (2018) expression trait hotspots.
Install from Dockerhub with this command:
bashdocker pull fjboehm/hotspots
Alternatively, if you wish to install the package directly from Github,
use devtools.
rinstall.packages("devtools") devtools::install_github("fboehm/hotspots")
Here is Keller’s Table S1 (from the Supplemental Documents).
| Chr | position (Mb) | number of transcripts | candidate mediator | number of genes with LOD difference > 1.5 |
|---|---|---|---|---|
| 2 | 165.5 | 147 | Hnf4a | 88 |
| 5 | 146 | 182 | Pdx1 | 77 |
| 7 | 46 | 123 | Fam83e | 96 |
| 11 | 71 | 126 | Sat2 | 115 |
| 13 | 112.5 | 104 | Il6st | 82 |
From Keller et al. 2018 GENETICS, Supplementary table 1
This is a basic example which shows you how to solve a common problem:
r#library(hotspots) ## basic example code
paper.RnwTo render the manuscript paper.Rnw, into pdf, use a shell to enter the
following text from the ‘hotspots’ directory:
bashdocker build .
If you’re not using Docker, and have cloned the repository from Github,
you can use the Makefile to render paper.Rnw. Just type make in the
shell (from within the hotspots directory):
bashmake
Please note that the ‘hotspots’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
来自真实用户的反馈,见证轩辕镜像的优质服务