Benchmarking Tools for Spatially-Resolved Transcriptomics: Curated Pathway Lists

An Excel file containing curated pathway lists with supporting literature references for four spatially-resolved transcriptomics datasets used in a benchmarking analysis. The file includes tables for IPMN, DLPFC, MOSTA mouse embryo, and Xenium lung cancer datasets. Author Li-Ting Ku published the file under a CC-BY-4.0 license on figshare in May 2026.

Use Cases

• Benchmarking cell-cell interaction inference tools based on curated pathway lists.
• Validating predicted cellular crosstalk signals against established literature references.
• Comparing pathway activity across different spatial transcriptomics platforms and tissue types.

Strengths

• File size is 56.1 KB, indicating a focused and manageable dataset.
• Each curated pathway list is explicitly linked to supporting literature references.
• Covers four distinct biological contexts: IPMN, DLPFC, mouse embryo development, and human lung cancer.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 56.1 KB size suggests a limited scope, containing only curated lists and references.

Provenance

Source

figshare

Collection Method

Curated from literature for use in a benchmarking analysis.

Freshness

Last updated 2026-05-14 04:34:00.