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The BioAutoMATED framework automates the identification of predictive ML architectures for any set of nucleic acid, peptide, or glycan sequences. The integrated pipeline includes standard data processing, a mixed model search via three open-source AutoML libraries, and general benchmarking of models. Trained models are automatically deployed for interpretation and sequence design. BioAutoMATED also includes features to externally validate models with additional datasets and retrain models on new data using transfer learning. (MIT image)
| Date Taken: | 08.12.2024 |
| Date Posted: | 08.12.2024 22:58 |
| Photo ID: | 8586095 |
| VIRIN: | 240812-D-D0490-1004 |
| Resolution: | 2083x1385 |
| Size: | 420.24 KB |
| Location: | FT. BELVOIR, VIRGINIA, US |
| Web Views: | 27 |
| Downloads: | 1 |
This work, Bioautomated: An End-To-End Machine Learning Tool for Bio-Medical Science and Drug Development, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
