Data Sets and Results for "Improved data sets and evaluation methods for the automatic prediction of DNA-binding proteins"
<p>Data sets and results for "Improved data sets and evaluation methods for the automatic prediction of DNA-binding proteins"<br> <br> The file "dna_binding_protein_sequences.zip" has the training and testing sets from the paper:<br> <br> RLL - "random_<train/test>_full_1000.csv"<br> RSL - "random_<train/test>_40.csv"<br> RS&LL - "random_<train/test>_40_1000.csv"<br> RLL where included positive examples have verified DNA binding activity - "random_<train/test>_hq_1000.csv"<br> The 10 RS&LL data sets - "random_<train/test>_40_1000.csv" + "random_<train/test>_40_1000_cv_<0-8>.csv"</p> <p>The results files are named similarly. See "see_results.ipynb" in the <a href="https://doi.org/10.5281/zenodo.5153683">codebase</a> that supplement these data sets<br> The species data sets are derived from "uniprot_data_bac.tab" and "uniprot_data_not_bac.tab." See <a href="https://doi.org/10.5281/zenodo.5153683">code</a>. <br> <br> The ESM embeddings used by the XGBoost model are in "dna_binding_protein_esm.zip"</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4