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Minjun Chen

Showing results (11-20 of 132) with videos related to

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Expert Review of Gastroenterology & Hepatology|May 27, 2014
Predicting idiosyncratic drug-induced liver injury: some recent advancesMinjun Chen, Jürgen Borlak, Weida Tong
Journal of Proteome Research|December 13, 2005
Metabonomic study on the biochemical profiles of a hydrocortisone-induced animal modelMinjun Chen, Liping Zhao, Wei Jia
Chemical Research in Toxicology|November 30, 2011
Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans?Min Zhang, Minjun Chen, Weida Tong
Biology Open|August 3, 2019
MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasisHaijiang Qiu, Fangchao Chen, Minjun Chen
Frontiers in Genetics|March 17, 2020
Editorial: Deep Learning for Toxicity and Disease PredictionPing Gong, Chaoyang Zhang, Minjun Chen
Molecules (Basel, Switzerland)|July 2, 2021
Crosslinking Strategies for the Microfluidic Production of MicrogelsMinjun Chen, Guido Bolognesi, Goran T Vladisavljević
Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association|July 17, 2023
In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A reviewHyun Kil Shin, Ruili Huang, Minjun Chen
Liver International : Official Journal of the International Association for the Study of the Liver|February 21, 2025
Artificial Intelligence: An Emerging Tool for Studying Drug-Induced Liver InjuryHao Niu, Ismael Alvarez-Alvarez, Minjun Chen
International Journal of Molecular Sciences|June 23, 2017
Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver InjuryKristin McEuen, Jürgen Borlak, Weida Tong, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|July 14, 2012
A decade of toxicogenomic research and its contribution to toxicological scienceMinjun Chen, Min Zhang, Jürgen Borlak, et al.
Pageof 14

Showing results (11-20 of 132) with videos related to

Sort By:
Pageof 14
Expert Review of Gastroenterology & Hepatology|May 27, 2014
Predicting idiosyncratic drug-induced liver injury: some recent advancesMinjun Chen, Jürgen Borlak, Weida Tong
Journal of Proteome Research|December 13, 2005
Metabonomic study on the biochemical profiles of a hydrocortisone-induced animal modelMinjun Chen, Liping Zhao, Wei Jia
Chemical Research in Toxicology|November 30, 2011
Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans?Min Zhang, Minjun Chen, Weida Tong
Biology Open|August 3, 2019
MicroRNA-138 negatively regulates the hypoxia-inducible factor 1α to suppress melanoma growth and metastasisHaijiang Qiu, Fangchao Chen, Minjun Chen
Frontiers in Genetics|March 17, 2020
Editorial: Deep Learning for Toxicity and Disease PredictionPing Gong, Chaoyang Zhang, Minjun Chen
Molecules (Basel, Switzerland)|July 2, 2021
Crosslinking Strategies for the Microfluidic Production of MicrogelsMinjun Chen, Guido Bolognesi, Goran T Vladisavljević
Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association|July 17, 2023
In silico modeling-based new alternative methods to predict drug and herb-induced liver injury: A reviewHyun Kil Shin, Ruili Huang, Minjun Chen
Liver International : Official Journal of the International Association for the Study of the Liver|February 21, 2025
Artificial Intelligence: An Emerging Tool for Studying Drug-Induced Liver InjuryHao Niu, Ismael Alvarez-Alvarez, Minjun Chen
International Journal of Molecular Sciences|June 23, 2017
Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver InjuryKristin McEuen, Jürgen Borlak, Weida Tong, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|July 14, 2012
A decade of toxicogenomic research and its contribution to toxicological scienceMinjun Chen, Min Zhang, Jürgen Borlak, et al.
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