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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15079737 |
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| _version_ | 1866902149208735744 |
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| author | Andres Gutierrez |
| author_facet | Andres Gutierrez |
| contents | <p> First public release of SpacekmerSDI!</p> <p>Features:</p> <ul> <li>Spaced k-mer extraction with binary masks</li> <li>Entropy-based feature calculation</li> <li>Agglomerative or KMeans clustering with silhouette optimization</li> <li>Wasserstein or Euclidean SDI matrix</li> <li>Multi-core FASTA parsing</li> <li>Exported statistics and log outputs</li> </ul> <p>Compatible with Conda (via environment.yml)</p> <p> See HOWTO.md for user guide. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15079737 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Gutierrez-Escobar-AJ/SpacekmerSDI: SpacekmerSDI v3.0 Andres Gutierrez <p> First public release of SpacekmerSDI!</p> <p>Features:</p> <ul> <li>Spaced k-mer extraction with binary masks</li> <li>Entropy-based feature calculation</li> <li>Agglomerative or KMeans clustering with silhouette optimization</li> <li>Wasserstein or Euclidean SDI matrix</li> <li>Multi-core FASTA parsing</li> <li>Exported statistics and log outputs</li> </ul> <p>Compatible with Conda (via environment.yml)</p> <p> See HOWTO.md for user guide. </p> |
| title | Gutierrez-Escobar-AJ/SpacekmerSDI: SpacekmerSDI v3.0 |
| url | https://doi.org/10.5281/zenodo.15079737 |