Supplementary Data for Diabetic Kidney Disease Biomarker Analysis

Weihong Li published supplementary data for a diabetic kidney disease study on figshare in May 2026. The 317.9 KB XLSX file contains underlying data supporting transcriptomic and machine learning analyses. Files include differential expression results, mitochondrial quality control gene screening, and outputs from machine learning, enrichment, immune infiltration, and drug repositioning analyses.

Use Cases

• Validate differential expression results based on the provided transcriptomic analysis tables.
• Screen for mitochondrial quality control-related genes using the provided gene lists.
• Reproduce machine learning model outputs for biomarker discovery.
• Conduct secondary enrichment or immune infiltration analysis using the provided results.
• Explore drug repositioning candidates based on the analysis outputs.

Strengths

• Data is published under a permissive CC-BY-4.0 license.
• Files are provided in the widely compatible XLSX format.
• The dataset supports multiple analytical angles (transcriptomics, ML, drug repositioning) from a single study.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset is small (317.9 KB), indicating limited scope and likely a supplementary nature.

Provenance

Source

figshare

Collection Method

Generated as supplementary material for a research manuscript.

Freshness

Last updated 2026-05-12 02:21:07.