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O SkillsMP coletou 12 skills de BrainStOrmics/BIA-CellHashtag. Abra uma skill para revisar a origem e os detalhes.
Mostrando 12 de 12 skills coletadas.
DAG-MCTS for cell type annotation. Search space is a DAG (Merge + ReEmbed create multi-parent nodes). Uses P-UCT selection, Soft-Bellman backprop, confidence discounting, and transposition table. Per-iteration tree viz emitted as interactive HTML.
Idioma do texto original: inglês
Correct batch effects in single-cell data using Harmony, BBKNN, or ComBat.
Idioma do texto original: inglês
Query CellWiki knowledge base for marker genes, cell type ontologies, and tissue-specific cell type constraints.
Idioma do texto original: inglês
Find differentially expressed genes (markers) for clusters using wilcoxon, t-test, or logistic regression. Includes consensus markers and resolution scanning.
Idioma do texto original: inglês
Assess single-cell clustering quality using silhouette score, modularity, and phiclust. Returns recommendations to adjust resolution or accept current clustering.
Idioma do texto original: inglês
Load single-cell RNA-seq data from h5ad, rds, or 10x mtx formats into AnnData objects.
Idioma do texto original: inglês
Generate publication-quality UMAP/t-SNE embedding plots with Okabe-Ito color palette. Outputs PDF+PNG.
Idioma do texto original: inglês
Generate violin plots and dot plots for gene expression visualization across cell clusters.
Idioma do texto original: inglês
Generate marker gene heatmaps with hierarchical clustering dendrograms.
Idioma do texto original: inglês
Compute QC metrics, filter cells, detect doublets for single-cell RNA-seq data.
Idioma do texto original: inglês
Load spatial transcriptomics data from 10x Visium, Nanostring MERFISH, BGI Stereo-seq, and generic spatial formats.
Idioma do texto original: inglês
Infer cell trajectories using PAGA graph-based trajectory inference.
Idioma do texto original: inglês