dsh-ezprot-plugin
Plug-and-play proteomics analysis bundle for DeepSeek Harness: auto-managed R 4.4 runtime, step-wise traceable pipeline (normalize / PCA / batch / DEA / enrichment / GSEA), cached GO-KEGG annotation backgrounds.
安装
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:YukunR/dsh-ezprot-plugin说明文档
阅读完整 README ↗dsh-ezprot-plugin
A plug-and-play proteomics analysis plugin for DeepSeek Harness. It wraps a full protein-expression analysis workflow — normalization → PCA → batch correction → differential analysis → GO/KEGG enrichment → GSEA — behind a conversation: give the agent your data file, answer a few questions (which columns are what, which groups to compare), and the plugin prepares everything automatically and walks through every step with visible summaries and figures, ending with an interpretation report.
No R, no Docker, no terminal knowledge required: the plugin detects or silently installs its own R 4.4.0 runtime and package library on first use (one-time, ~10–20 min).
Install
Prerequisites: Node.js (bundles npx) and pnpm — npm install -g pnpm.
Requires the dsh CLI (Windows / macOS / Linux), one command:
npx @deepseek-ai/dsh plugin --profile web add dsh-ezprot-plugin
If dsh is already installed globally, drop the npx @deepseek-ai/ prefix:
dsh plugin --profile web add dsh-ezprot-plugin
Then restart dsh web. Every session's agent gains the proteomics_* tools.
Usage
Just talk to the agent. For example:
My proteomics data is at
D:\my-experiment\origin_data.txtwith sample groups inD:\my-experiment\sample_info.txt, mouse samples. Compare HC and HD against NC.
The agent will inspect and QC your data, confirm the comparisons with you, run the analysis step by step, and write an interpretation report (top proteins, enriched pathways, candidate targets). Detailed instructions: biologist's guide (中文).
Development
See CONTRIBUTING.md.