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Carcinogenicity Prediction of Noncongeneric Chemicals by a Support Vector Machine

https://doi.org/10.1021/tx4000182
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Role of Structure—Activity Relationship Analysis in Evaluation of Pesticides for Potential Carcinogenicity
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Derivation and Validation of Toxicophores for Mutagenicity Prediction
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LIBSVM
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Scientific Concepts, Value, and Significance of Chemical Carcinogenesis Studies
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Structural Alerts of Mutagens and Carcinogens

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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In Silico Estimation of Chemical Carcinogenicity with Binary and Ternary Classification Methods
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Combination Computing of Support Vector Machine, Support Vector Regression and Molecular Docking for Potential Cytochrome P450 1A2 Inhibitors
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DCAMCP : A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction
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ABSTRACTS FROM THE 10 TH INTERNATIONAL ISSX MEETING
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LMF-CP: An Interpretable Multimodal Late-Fusion Framework for Compound Carcinogenicity Prediction
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