Toxicogenomics: A 2020 Vision.
Toxicogenomics: A 2020 Vision.
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DOI:
10.1016/j.tips.2018.12.001
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发表时间:
2019-02
影响因子:
13.8
通讯作者:
Tong, Weida
中科院分区:
文献类型:
--
作者:
Liu, Zhichao;Huang, Ruili;Roberts, Ruth;Tong, Weida
Toxicogenomics (TGx) has contributed significantly to toxicology and now has great potential to support moves towards animal-free approaches in regulatory decision making. Here, we discuss in vitro TGx systems and their potential impact on risk assessment. We raise awareness of the rapid advancement of genomics technologies which generates novel genomics features essential for enhanced risk assessment. We specifically emphasize the importance of reproducibility in utilizing TGx in the regulatory setting. We also highlight the role of machine learning (particularly deep learning) in developing TGx-based predictive models. Lastly, we touch on the topics of how TGx approaches could facilitate adverse outcome pathways (AOP) development and enhance read-across strategies to further regulatory application. Finally, we summarize current efforts to develop TGx for risk assessment and set out remaining challenges.
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影响因子:
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作者:
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通讯作者:
Xia, Menghang
影响因子:
3.2
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DOI:
10.1109/tasl.2011.2134090
发表时间:
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影响因子:
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作者:
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通讯作者:
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影响因子:
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作者:
Gupta SK;Garg A;Bär C;Chatterjee S;Foinquinos A;Milting H;Streckfuß-Bömeke K;Fiedler J;Thum T
通讯作者:
Thum T