File:Models for Biological Sequence Representation.jpg
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Summary
| Description |
English: A comparison of three machine learning models used to generate vector representations (embeddings) from biological sequences, including the Transformer architecture. |
| Date | |
| Source | Bioinformatics Advances, Volume 3, Issue 1, 2023, vbad001, https://doi.org/10.1093/bioadv/vbad001 |
| Author | Shuang Zhang, Rui Fan, Yuti Liu, Shuang Chen, Qiao Liu, Wanwen Zeng |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 16:36, 28 November 2025 | | 1,340 × 2,600 (442 KB) | wikimediacommons>VV A-D-C-Y | Uploaded a work by Shuang Zhang, Rui Fan, Yuti Liu, Shuang Chen, Qiao Liu, Wanwen Zeng from Bioinformatics Advances, Volume 3, Issue 1, 2023, vbad001, https://doi.org/10.1093/bioadv/vbad001 with UploadWizard |
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