A Python-based toolkit for analyzing single-cell gene expression data, built on top of AnnData.
Scanpy
- Python
- IA et apprentissage automatique, Bio-ingénierie, Bioinformatique, Analyse des données
- Bio-ingénierie, Biologie, Capteurs biomédicaux, Machine Learning, Réseau neuronal, Statistical Analysis, Indicateurs de durabilité, Expérience utilisateur (UX)
Caractéristiques :
- Single-cell RNA sequencing (scRNA-seq) analysis,preprocessing (filtering,normalization,scaling),dimensionality reduction (PCA,t-SNE,UMAP),clustering (Louvain,Leiden),differential gene expression analysis,trajectory inference,visualization tools (scatter plots,heatmaps,violin plots),integration with AnnData for data storage
Prix :
- Gratuit
- Comprehensive suite of tools for single-cell analysis, scalable to large datasets, well-documented with tutorials, active community, integrates well with the scientific Python ecosystem (AnnData,NumPy,SciPy,Matplotlib,Seaborn).
- Steep learning curve for users new to single-cell genomics or computational biology, requires understanding of scRNA-seq data and analysis concepts, some advanced analyses might need custom scripting or integration with other specialized tools.
Idéal pour :
- Bioinformaticians and computational biologists analyzing single-cell transcriptomics data to understand cellular heterogeneity, development, and disease.