cellxgene-census
ebezzi/readthedocs-plausible
Installation
What is SOMA
Python API
R API
Schema
Examples
API
Axis Query Example
Computing on X: using online algorithms
Census datasets presence
Census Datasets example
Census query & extract subsets
Census - demo ScanPy rank_gene_groups
Census summary cell counts example
Analysis
Learning about the CELLxGENE Census
Integration of data from the Census
Exploring all data from a tissue in the Census
Normalizing full-length gene sequencing data from the Census
Querying and fetching data from the Census
cellxgene-census
Examples
Edit on GitHub
Examples
¶
API
¶
Axis Query Example
Opening the Census
Summarize Census cell metadata
Full census stats
Computing on X: using online algorithms
Simple incremental (aka “online”) calculations
Complex online calculations
A more complex example - counting cells per feature, grouped by dataset_id
Census datasets presence
Is a feature present in a dataset?
What datasets contain a feature?
What features are in a dataset?
Census Datasets example
Census query & extract subsets
Census - demo ScanPy rank_gene_groups
Census summary cell counts example
Analysis
¶
Learning about the CELLxGENE Census
Contents
Opening the Census
Census organization
Census summary content tables
Cell metadata
Gene metadata
Understanding Census contents beyond the summary tables
Integration of data from the Census
Finding and fetching data from mouse liver
Gene-length normalization of Smart-Seq2 data.
Integration with scvi-tools
Exploring all data from a tissue in the Census
Learning about the lung data in the Census
Fetching a sample of all human lung data from the Census.
Normalizing full-length gene sequencing data from the Census
Contents
Opening the census
Fetching full-length example sequencing data (Smart-Seq)
Normalizing expression to account for gene length
Validation through clustering analysis
Querying and fetching data from the Census
Contents
Opening the census
Querying cell metadata (obs)
Querying gene metadata (var)
Querying expression data