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Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine

机译：预测毒理学：结合圆形指纹与随机森林和支持向量机的化学诱导毒理反应模型

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Alexios Koutsoukas; Joseph St. Amand; Meenakshi Mishra; Jun Huan;
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年度 2016
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1. Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine [J] . Koutsoukas Alexios, St. Amand Joseph, Mishra Meenakshi, Frontiers in Environmental Science . 2016,第2期

机译：预测毒理学：结合圆形指纹与随机森林和支持向量机的化学诱导毒理学响应建模
2. Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines [J] . Rodriguez-Galiano V., Sanchez-Castillo M., Chica-Olmo M., Ore Geology Reviews: Journal for Comprehensive Studies of Ore Genesis and Ore Exploration . 2015,第Null期

机译：机器学习预测模型的矿物前景：对神经网络，随机森林，回归树和支持向量机的评估
3. Random Forest versus Support Vector Machine Models’ Applicability for Predicting Beam Shear Strength [J] . Hayder Riyadh Mohammed Mohammed, Sumarni Ismail Complexity . 2021,第a期

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4. Combining random forest with support vector regression to conduct diagnostic and predictive analytics for semiconductor companies [C] . Chih-Hsuan Wang International Conference on Computers Industrial Engineering . 2019

机译：随机森林与支持向量回归，为半导体公司进行诊断和预测分析
5. Combining biomarkers and clinicopathologic factors for prediction of response to adjuvant chemotherapy for breast cancer: Cox model and Support Vector Machine (SVM) methods. [D] . Liu, Xudong. 2010

机译：结合生物标志物和临床病理因素预测乳腺癌对辅助化疗的反应：Cox模型和支持向量机（SVM）方法。
6. eRFSVM: a hybrid classifier to predict enhancers-integrating random forests with support vector machines [O] . Fang Huang, Jiawei Shen, Qingli Guo, 2016

机译：eRFSVM：混合分类器用于预测将增强子与支持向量机集成的增强森林
7. Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine [O] . Alexios eKoutsoukas, Joseph St. Amand, Meenakshi eMishra, 2016

机译：预测毒理学：结合圆形指纹与随机森林和支持向量机的化学诱导毒理反应模型

Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine

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