Data-driven interpretable analysis for polysaccharide yield prediction

Data-driven interpretable analysis for polysaccharide yield prediction

Cornstalks show promise as a raw material for polysaccharide production through xylanase. Rapid and accurate prediction of polysaccharide yield can facilitate process optimization, eliminating the need for extensive experimentation in actual production to refine reaction conditions, thereby saving t...

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Bibliographic Details
Main Authors: Yushi Tian, Xu Yang, Nianhua Chen, Chunyan Li, Wulin Yang
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Environmental Science and Ecotechnology
Subjects:
Cornstalk
Xylanase
Polysaccharide yield prediction
Machine learning
Model interpretability
Online Access:http://www.sciencedirect.com/science/article/pii/S2666498423000868

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http://www.sciencedirect.com/science/article/pii/S2666498423000868

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