FMI Value for DLPFC and HBC: Spatial Transcriptomics Clustering Benchmark

FMI value for DLPFC and HBC dataset contains benchmark results for the STESH clustering method on spatial transcriptomics data. The dataset is 11.0 KB in size, stored in an XLSX file, and was authored by Huihui Zhang. It was last updated on June 1, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Benchmarking spatial domain clustering methods based on the reported adjusted Rand index, normalized mutual information, and Fowlkes-Mallows index scores.
• Evaluating the integration of histological features with gene expression and spatial location data for tissue analysis.
• Comparing the performance of the STESH method against ten other state-of-the-art clustering techniques.

Strengths

• Dataset is small (11.0 KB), facilitating quick download and inspection.
• Includes benchmark results against ten other methods, providing a comparative context.
• Uses a standardized, accessible file format (XLSX).

Limitations

• The dataset's row count and specific column structure are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Huihui Zhang via figshare

Collection Method

Likely contains evaluation metrics generated from applying the STESH clustering method to spatial transcriptomics data.

Freshness

Last updated 2026-06-01 17:40:32; freshness should be verified.