Drosophila Testis Transcriptomic Features for Machine Learning Models

Additional file 9 of Machine learning analysis of Drosophila testis transcriptomic data reveals potential regulatory sequences. This supplementary table lists features used for machine learning algorithms and their source publications. The dataset is a 13.1 KB XLSX file authored by Viktor Vedelek and shared under a CC-BY-4.0 license on figshare.

Use Cases

• Training classifiers to identify regulatory sequences based on curated transcriptomic features.
• Benchmarking feature engineering methods for genomic machine learning tasks.
• Reproducing analyses from the source publication on Drosophila testis gene regulation.

Strengths

• Dataset is small (13.1 KB), facilitating quick download and inspection.
• Provides explicit citation of source publications for each feature, aiding reproducibility.
• Shared under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Row count is unknown, which may limit 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

figshare

Collection Method

Compiled as supplementary material for a research publication.

Freshness

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