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autonomous-lab
autonomous-lab contient 4 skills collectées depuis albert-ying, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Differential gene expression analysis with PyDESeq2. Design matrices, contrasts, multiple testing correction, volcano plots.
Single-cell RNA-seq analysis with Scanpy. QC, normalization, clustering, visualization, marker gene identification.
End-to-end single-cell RNA-seq analysis including data loading, QC, integration, clustering, cell type annotation, and differential expression.
Critically review AI-agent-conducted scientific analyses for correctness, rigor, and completeness. Use this skill whenever an analysis session has completed and needs validation, when a user asks to "review," "validate," "check," or "audit" a computational analysis, or when an agent pipeline produces scientific results that require quality control before reporting. Also trigger when the user references an execution trace, notebook, or conversation history from a prior analysis session. This skill should run as the final step of any autonomous scientific analysis pipeline.