Additional Table S5: GO Enrichment Analysis of Drosophila Testis Transcriptomic Clusters

Supplementary material from a machine learning analysis of Drosophila testis transcriptomic data. The dataset is a GO enrichment analysis of DBSCAN clusters with parameters epsilon=12 and minimum samples=90. It was authored by Viktor Vedelek and last updated on May 12, 2026.

Use Cases

• Identify enriched biological processes in Drosophila testis based on GO term analysis.
• Validate DBSCAN clustering results from transcriptomic data using functional enrichment.
• Explore potential gene regulatory networks involved in spermatogenesis.
• Benchmark machine learning methods for functional genomics data interpretation.

Strengths

• File size is 104.3 KB, indicating a focused and manageable analysis output.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

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

Provenance

Source

figshare

Collection Method

Likely derived from computational analysis of Drosophila melanogaster testis RNA-seq data.

Freshness

Last updated 2026-05-12 04:44:25; freshness should be verified.