scrna-meta-analysis

SKILLWorkflowcommunity
v0.0.0ammawlaAGPL-3.0Updated 21d agoSource →

Conduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomic datasets for a tissue/cell type. Use when the user wants to answer "what cell types exist in my tissue and what genes define them?" by combining scRNA-seq data across donors, lab

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
26Repo stars
1Clients
1Formats
21d agoLast update
Skill
Authorammawla
Version0.0.0
LicenseAGPL-3.0
CategoryWorkflow
Formatsskill.md
PromptNot published
Compatibility
Claude✓ Supported
Cursor
Copilot
ChatGPT
Gemini
About

Conduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomic datasets for a tissue/cell type. Use when the user wants to answer "what cell types exist in my tissue and what genes define them?" by combining scRNA-seq data across donors, labs, and platforms. Follows the Mawla et al. 2019 framework for assessing cross-study reproducibility,

Keywords
skillclaude