R Scripts for Genomic Data Analysis and Visualization

A 27.3 KB ZIP file contains five R scripts for genomic data analysis. The scripts, authored by Kang Leng and last updated in May 2026, cover raw data preprocessing, differential expression, functional enrichment, survival analysis, and figure generation. The resource is shared under a CC-BY-4.0 license.

Use Cases

• Perform raw data preprocessing and quality control based on the described S1 script.
• Conduct differential expression analysis based on the described S2 script.
• Run functional enrichment analysis based on the described S3 script.
• Build prognostic models using survival analysis based on the described S4 script.
• Generate publication-ready figures based on the described S5 script.

Strengths

• The resource is small (27.3 KB), making it quick to download and inspect.
• It provides a complete, script-based workflow covering five distinct analysis stages mentioned in the description.

Limitations

• The dataset's row count and column structure are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-14 17:37:52; freshness should be verified.