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Corrigendum: Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.勘误：使用机器学习方法和结构警报预测药物设计中的化学毒性。

Front Chem. 2018 Apr 13;6:129. doi: 10.3389/fchem.2018.00129. eCollection 2018.

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Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.使用机器学习方法和结构警示进行药物设计的化学毒性预测

Front Chem. 2018 Feb 20;6:30. doi: 10.3389/fchem.2018.00030. eCollection 2018.

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Corrigendum.勘误

Paediatr Child Health. 2015 Nov-Dec;20(8):466-7. doi: 10.1093/pch/20.8.466.

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Corrigendum: Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review.勘误：基于机器学习和网络拓扑特征预测必需基因和蛋白质：综述

Front Physiol. 2016 Dec 6;7:617. doi: 10.3389/fphys.2016.00617. eCollection 2016.

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Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction and Extreme Learning Machine Using Structural and Functional Brain MRI.勘误：使用结构和功能脑磁共振成像通过分层特征提取和极限学习机对注意力缺陷多动障碍进行多模态、多测量和多类别辨别

Front Hum Neurosci. 2017 May 31;11:292. doi: 10.3389/fnhum.2017.00292. eCollection 2017.

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Corrigendum: Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer's Disease in AIBL Data: Group and Individual Analyses.勘误：使用Dartel的多核学习改善了AIBL数据中阿尔茨海默病的MRI-PET联合分类：组分析和个体分析。

Front Hum Neurosci. 2017 Sep 8;11:457. doi: 10.3389/fnhum.2017.00457. eCollection 2017.

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SApredictor: An Expert System for Screening Chemicals Against Structural Alerts.SA预测器：一种针对结构警报筛选化学物质的专家系统。

Front Chem. 2022 Jul 13;10:916614. doi: 10.3389/fchem.2022.916614. eCollection 2022.

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Corrigendum: Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks.勘误：深度植物表型组学：用于复杂植物表型分析任务的深度学习平台。

Front Plant Sci. 2018 Jan 15;8:2245. doi: 10.3389/fpls.2017.02245. eCollection 2017.

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Corrigendum.勘误。

J Cachexia Sarcopenia Muscle. 2015 Jun;6(2):192. doi: 10.1002/jcsm.12038.

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Corrigendum: Deep Learning for Whole Slide Image Analysis: An Overview.勘误：用于全切片图像分析的深度学习：综述。

Front Med (Lausanne). 2020 Aug 19;7:419. doi: 10.3389/fmed.2020.00419. eCollection 2020.

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勘误：使用机器学习方法和结构警报预测药物设计中的化学毒性。

Corrigendum: Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts.

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