首页|Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data

Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data

Case Marshall Smith Matthew Thurber Greg Vinh Jordan

DOI：10.1101/2023.06.09.544229

来源：

bioRxiv

Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data

Case Marshall ¹Smith Matthew ²Thurber Greg ³Vinh Jordan⁴

作者信息

1. Chemical Engineering, University of Michigan
2. Chemical Engineering, University of Michigan||Biointerfaces Institute, University of Michigan
3. Chemical Engineering, University of Michigan||Biomedical Engineering, University of Michigan
4. Biomedical Engineering, University of Michigan
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Key words

protein engineering/directed evolution/supervised machine learning

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Case Marshall,Smith Matthew,Thurber Greg,Vinh Jordan.Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data[EB/OL].(2025-03-28)[2025-12-13].https://www.biorxiv.org/content/10.1101/2023.06.09.544229.

学科分类

生物工程学/生物科学研究方法、生物科学研究技术/生物化学

首发时间： 2025-03-28

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Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data

Machine Learning to Predict Continuous Protein Properties from Simple Binary Sorting and Deep Sequencing Data

Key words

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