Juan J. Rodriguez
@jjrd.bsky.social
Reposted by Juan J. Rodriguez
🚀 Our new semi-supervised learning method improves protein fitness prediction with limited data! Introducing:
✅ New generalized MERGE (works with any regressor)
✅ Tri-Training Regressor (novel SSL for regression)
🥇DCA + MERGE + SVM wins!
bit.ly/SSprediction
✅ New generalized MERGE (works with any regressor)
✅ Tri-Training Regressor (novel SSL for regression)
🥇DCA + MERGE + SVM wins!
bit.ly/SSprediction
Semi-supervised prediction of protein fitness for data-driven protein engineering - Journal of Cheminformatics
Protein fitness prediction plays a crucial role in the advancement of protein engineering endeavours. However, the combinatorial complexity of the protein sequence space and the limited availability o...
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June 1, 2025 at 10:45 AM
🚀 Our new semi-supervised learning method improves protein fitness prediction with limited data! Introducing:
✅ New generalized MERGE (works with any regressor)
✅ Tri-Training Regressor (novel SSL for regression)
🥇DCA + MERGE + SVM wins!
bit.ly/SSprediction
✅ New generalized MERGE (works with any regressor)
✅ Tri-Training Regressor (novel SSL for regression)
🥇DCA + MERGE + SVM wins!
bit.ly/SSprediction