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Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties

Research article (Environmental Science & Technology, 2023) · cited 128× · AI/ML
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Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties

Summary

Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties is a scholarly article[1].

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  • Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/count-based-morgan-fingerprint-a-more-efficient-and-interpretable-molecular-representation-in-developing-machine-learnin
MLA “Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/count-based-morgan-fingerprint-a-more-efficient-and-interpretable-molecular-representation-in-developing-machine-learnin.
BibTeX @misc{4ortxyz_count-based-morgan-fingerprint-a-more-efficient-and-interpretable-molecular-representation-in-developing-machine-learnin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties}}, year = {2026}, url = {https://4ort.xyz/entity/count-based-morgan-fingerprint-a-more-efficient-and-interpretable-molecular-representation-in-developing-machine-learnin}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants’ Activities and Properties — https://4ort.xyz/entity/count-based-morgan-fingerprint-a-more-efficient-and-interpretable-molecular-representation-in-developing-machine-learnin (retrieved 2026-05-24)

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