Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models-Reference-Cited by-同舟云学术

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Machine Learning in Predictive Toxicology: Recent Applications and Future Directions for Classification Models

Published:2020-12-23 Issue:2 Volume:34 Page:217-239
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Wang Marcus W. H.¹,Goodman Jonathan M.¹^ORCID,Allen Timothy E. H.¹²^ORCID

Affiliation:

1. Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom

2. MRC Toxicology Unit, University of Cambridge, Hodgkin Building, Lancaster Road, Leicester LE1 7HB, United Kingdom

Funder

Unilever

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.0c00316

Reference337 articles.

1. Deep learning for computational biology

2. Deep Learning in Drug Discovery and Medicine; Scratching the Surface

3. In silico prediction of toxic action mechanisms of phenols for imbalanced data with Random Forest learner

4. Computational toxicology—a tool for early safety evaluation

5. Deep learning for predicting toxicity of chemicals: a mini review

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