single-cell-annotation
De la autor
Best practices for single-cell RNA-seq cell type annotation including marker-based, reference-based, and automated classification approaches.
Instalare
npx skills add jaechang-hits/SciAgent-Skills --skill single-cell-annotation -a claude-code
Se instalează în .claude/skills/single-cell-annotation/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
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De ce 80
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
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- celltypist-cell-annotationjaechang-hits/SciAgent-SkillsAutomated scRNA-seq cell type annotation via pre-trained logistic regression. 45+ models: immune, gut, lung, brain, fetal, cancer microenvironments. Input normalized AnnData; outputs per-cell labels, majority-vote cluster labels, confidence scores. Use for fast, reference-backed annotation without manual marker inspection; read cell-type-annotation first.Altele★ 382
- cell-type-annotationjaechang-hits/SciAgent-SkillsscRNA-seq cell type annotation - read before any annotation skills. Chooses and runs the route: name clusters manually from canonical markers (scanpy, runnable code here), transfer labels with CellTypist or a popV/scANVI on a reference, or do both and validate one against other. Covers package availability, tissue- and state-matched references, marker panels, confidence and marker validation of transferred labels, doublets, unresolved clusters. Tool-specific code lives in celltypist/popv-cell-annotation and scvi-tools-single-cell.Planificare★ 382
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- scgptaipoch/open-scienceEmbed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology. Use this skill when: (1) Producing cell embeddings from an AnnData for clustering/integration, (2) Zero-shot or fine-tuned cell-type annotation, (3) Gene-level representation for perturbation/GRN tasks. For probabilistic single-cell models (scVI etc.), use the scvi-tools library.Știință★ 5.4K
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