omicverse-single-cell-lda-topic-clustering
CommunityTriggerable LDA topic clustering for scRNA.
AuthorStarlitnightly
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill transforms a notebook-style LDA topic modeling workflow into a reusable, triggerable job that outputs per-cell topic usage and optional hard-label classifications.
Core Features & Use Cases
- Reusable wrapper ov.utils.LDA_topic that can run in-memory or on-disk.
- Supports deriving hard cluster labels or RFC-based labels from topic assignments.
- Works with count-like AnnData data in a modular, auditable workflow for single-cell experiments.
Quick Start
Run a simple predictive workflow by instantiating the LDA_topic wrapper with an AnnData object and calling predicted(num_topics=6) to generate LDA_cluster.
Dependency Matrix
Required Modules
anndatanumpypandasomicverse
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: omicverse-single-cell-lda-topic-clustering Download link: https://github.com/Starlitnightly/omicverse-skills/archive/main.zip#omicverse-single-cell-lda-topic-clustering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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