Machine Learning Analysis of Drosophila Testis Transcriptomic Data

Viktor Vedelek published supplementary data on May 12, 2026. The 2.7 MB XLSX file contains processed transcriptomic data from Drosophila (fruit fly) testis. It includes calculated testis specificity indices and details on machine learning parameterization.

Use Cases

• Calculate tissue-specific gene expression scores based on tau and z-score indices mentioned in the description.
• Parameterize machine learning workflows for genomic data using the described ML parameterization sheet.
• Reprocess literature-derived transcriptomic data for comparative analysis as outlined in the first sheet.

Strengths

• Data is licensed under CC-BY-4.0, allowing for open reuse and distribution.
• The file includes multiple structured sheets covering data processing, ML workflow, and calculated specificity scores.

Limitations

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

Provenance

Source

figshare

Collection Method

Data processing and calculation based on Encode, Fly Atlas, and Fly Atlas2 transcriptomic datasets.

Freshness

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