Query the CELLxGENE Census for single-cell gene expression data and metadata.
npx skills add https://github.com/yf8578/clawomics --skill cellxgene-census-yf8578
Please help me install this Agent Skill. Skill: cellxgene-census Source: https://github.com/yf8578/clawomics/tree/main/skills/cellxgene-census Command: npx skills add https://github.com/yf8578/clawomics --skill cellxgene-census-yf8578
This Skill provides programmatic access to the vast CELLxGENE Census, enabling users to query and analyze millions of single-cell gene expression datasets without needing to download them individually.
Use the cellxgene-census skill to load AnnData for human cells where the cell type is 'B cell' and the tissue is 'lung'.
High-intent search queries and answers about installing and using this skill.
Querying the CELLxGENE Census allows you to programmatically filter millions of single-cell genomics records by cell type, tissue, and disease, retrieving specific subsets without downloading individual datasets. It uses the SOMA API for efficient data subsetting and retrieval.
The best way to retrieve specific cell subsets like human B cells in lung tissue from COVID-19 patients is to use the CELLxGENE Census to programmatically filter metadata and gene expression data. This enables efficient subsetting of the single-cell genomics dataset for targeted analysis.
Yes, you need the cellxgene-census library to interact with the SOMA API for Census data access. The retrieved single-cell genomics data seamlessly integrates with Python analysis tools like Scanpy and PyTorch for downstream machine learning and analysis.
Programmatic querying of the CELLxGENE Census handles population-scale single-cell datasets by providing access to over 61 million human and mouse cells. It allows you to efficiently filter and retrieve gene expression data and metadata across the entire dataset for large-scale analysis.
Yes, you can load AnnData objects directly from the CELLxGENE Census by filtering for specific cell types, such as 'B cell', and tissues, like 'lung'. This allows you to retrieve precisely subsetted single-cell gene expression data ready for analysis.
tassiovaleQuery and analyze single-cell and spatial transcriptomics data from the CZ CELLxGENE Census.
CHENyiru3Organize annotated single-cell data matrices using the AnnData structure.
sanand0Query and analyze CZ CELLxGENE Census single-cell genomics data with scanpy and PyTorch.
robinbarvaagQuery and analyze single-cell gene expression data from the CZ CELLxGENE Census.
