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pwwang
Profil créateur GitHub

pwwang

Vue par dépôt de 33 skills collectés dans 1 dépôts GitHub.

skills collectés
33
dépôts
1
mis à jour
2026-07-01
carte des dépôts

Où se trouvent les skills

Principaux dépôts par nombre de skills collectés, avec leur part dans ce catalogue créateur et leur couverture métier.

explorateur de dépôts

Dépôts et skills représentatifs

immunopipe-config
Développeurs de logiciels

Master skill for generating immunopipe pipeline configurations. Determines pipeline architecture based on data type (scRNA-seq with or without scTCR/BCR-seq) and analysis requirements. Routes to individual process skills for detailed configuration. Use this skill when starting a new immunopipe configuration or modifying pipeline-level options.

2026-07-01
cdr3aaphyschem
Microbiologistes

Analyzes physicochemical properties of CDR3 amino acid sequences to understand biochemical characteristics of T-cell receptor repertoires. Performs regression analysis between two cell groups at different CDR3 lengths for each physicochemical feature (hydrophobicity, volume, isoelectric point, etc.).

2026-01-20
cdr3clustering
Microbiologistes

Cluster TCR/BCR clones by CDR3 sequences using GIANA or ClusTCR (both Faiss-based). Adds `CDR3_Cluster` column to metadata for clonotype analysis.

2026-01-20
cellcellcommunication
Scientifiques des données

Infer ligand-receptor interactions and cell-cell communication networks from single-cell RNA-seq data using the LIANA+ framework. Identifies potential signaling events between cell types based on gene expression patterns and curated ligand-receptor interaction databases.

2026-01-20
cellcellcommunicationplots
Biochimistes et biophysiciens

Visualize cell-cell communication inference results from CellCellCommunication process. Creates publication-ready network diagrams, heatmaps, and interaction plots to help interpret ligand-receptor interactions between cell types.

2026-01-20
celltypeannotation
Biologistes, autres

Annotates cell clusters with biological cell type labels using multiple methods: direct assignment, ScType, scCATCH, hitype, or CellTypist. This process is essential for interpreting clustering results by assigning meaningful biological identities to each cluster.

2026-01-20
clonalstats
Scientifiques des données

Generate comprehensive clonality statistics and diversity visualizations for TCR/BCR repertoire analysis. Quantifies clonal expansion, measures diversity metrics (Shannon, Simpson, Gini), and creates publication-ready plots.

2026-01-20
clustermarkers
Scientifiques des données

Finds differentially expressed genes (markers) for clusters of T/B cells using Seurat's FindMarkers function. Performs statistical testing between clusters, identifies cluster-defining genes, and automatically runs pathway enrichment analysis (via Enrichr) on significant markers. Generates publication-ready visualizations including volcano plots, dot plots, heatmaps, and enrichment plots.

2026-01-20
Affichage des 8 principaux skills collectés sur 33 dans ce dépôt.
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