MultiChat: Single-Cell Resolution Cell-Cell Communication Inference Datasets

1.4 GB of data supports MultiChat, a computational framework for inferring spatially resolved cell-cell communication. The dataset integrates single-cell or spatial transcriptomics and epigenomics data. It was authored by caiwei zhen and last updated on 2026-04-19.

Use Cases

• Benchmarking cell-cell communication inference methods based on integrated transcriptomics and epigenomics data.
• Developing spatial analysis pipelines based on single-cell resolution data.
• Training machine learning models for multi-omics data integration based on the described framework.

Strengths

• Dataset size is 1.4 GB, indicating substantial content.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

caiwei zhen

Collection Method

Likely generated or compiled for the MultiChat computational framework tutorial.

Freshness

Last updated 2026-04-19 14:06:10; freshness should be verified.