What problem does it solve?
This Skill provides a standardized way to handle large, annotated data matrices common in single-cell genomics and other scientific fields, simplifying data storage, manipulation, and analysis.
Core Features & Use Cases
- Data Structure: Efficiently store and access expression matrices (X) along with observation (obs) and variable (var) metadata.
- I/O Operations: Read and write data in various formats like h5ad and zarr, supporting large datasets with backed mode.
- Data Manipulation: Subset, filter, concatenate, and transform data with optimized operations.
- Use Case: Analyze single-cell RNA sequencing data by loading count matrices, filtering low-quality cells, normalizing expression, performing dimensionality reduction (PCA, UMAP), and clustering cells, all within a unified framework.
Quick Start
Load the 'my_data.h5ad' file into an AnnData object for analysis.