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Weida Tong

Showing results (81-90 of 353) with videos related to

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Drug Discovery Today|September 15, 2023
DICTrank: The largest reference list of 1318 human drugs ranked by risk of drug-induced cardiotoxicity using FDA labelingYanyan Qu, Ting Li, Zhichao Liu, et al.
Chemical Research in Toxicology|December 28, 2020
DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level RepresentationTing Li, Weida Tong, Ruth Roberts, et al.
Frontiers in Artificial Intelligence|June 17, 2021
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing PharmacovigilanceXingqiao Wang, Xiaowei Xu, Weida Tong, et al.
Expert Opinion on Drug Metabolism & Toxicology|March 17, 2022
Integrative approaches for studying the role of noncoding RNAs in influencing drug efficacy and toxicityDongying Li, Minjun Chen, Huixiao Hong, et al.
Biochemical Pharmacology|January 22, 2021
Biochemical features and mutations of key proteins in SARS-CoV-2 and their impacts on RNA therapeuticsLi Zeng, Dongying Li, Weida Tong, et al.
BMC Bioinformatics|December 15, 2011
Mining FDA drug labels using an unsupervised learning technique--topic modelingHalil Bisgin, Zhichao Liu, Hong Fang, et al.
Drug Discovery Today|October 4, 2021
A systematic comparison of hepatobiliary adverse drug reactions in FDA and EMA drug labeling reveals discrepanciesYue Wu, Wenzhong Xiao, Weida Tong, et al.
Scientific Data|June 10, 2022
Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequenciesBinsheng Gong, Rebecca Kusko, Wendell Jones, et al.
Chemical Research in Toxicology|December 7, 2019
Can Transcriptomic Profiles from Cancer Cell Lines Be Used for Toxicity Assessment?Zhichao Liu, Liyuan Zhu, Shraddha Thakkar, et al.
Chemical Research in Toxicology|December 23, 2020
Impact of Sequencing Depth and Library Preparation on Toxicological Interpretation of RNA-Seq Data in a "Three-Sample" ScenarioDongying Li, Binsheng Gong, Joshua Xu, et al.
Pageof 36

Showing results (81-90 of 353) with videos related to

Sort By:
Pageof 36
Drug Discovery Today|September 15, 2023
DICTrank: The largest reference list of 1318 human drugs ranked by risk of drug-induced cardiotoxicity using FDA labelingYanyan Qu, Ting Li, Zhichao Liu, et al.
Chemical Research in Toxicology|December 28, 2020
DeepDILI: Deep Learning-Powered Drug-Induced Liver Injury Prediction Using Model-Level RepresentationTing Li, Weida Tong, Ruth Roberts, et al.
Frontiers in Artificial Intelligence|June 17, 2021
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing PharmacovigilanceXingqiao Wang, Xiaowei Xu, Weida Tong, et al.
Expert Opinion on Drug Metabolism & Toxicology|March 17, 2022
Integrative approaches for studying the role of noncoding RNAs in influencing drug efficacy and toxicityDongying Li, Minjun Chen, Huixiao Hong, et al.
Biochemical Pharmacology|January 22, 2021
Biochemical features and mutations of key proteins in SARS-CoV-2 and their impacts on RNA therapeuticsLi Zeng, Dongying Li, Weida Tong, et al.
BMC Bioinformatics|December 15, 2011
Mining FDA drug labels using an unsupervised learning technique--topic modelingHalil Bisgin, Zhichao Liu, Hong Fang, et al.
Drug Discovery Today|October 4, 2021
A systematic comparison of hepatobiliary adverse drug reactions in FDA and EMA drug labeling reveals discrepanciesYue Wu, Wenzhong Xiao, Weida Tong, et al.
Scientific Data|June 10, 2022
Ultra-deep multi-oncopanel sequencing of benchmarking samples with a wide range of variant allele frequenciesBinsheng Gong, Rebecca Kusko, Wendell Jones, et al.
Chemical Research in Toxicology|December 7, 2019
Can Transcriptomic Profiles from Cancer Cell Lines Be Used for Toxicity Assessment?Zhichao Liu, Liyuan Zhu, Shraddha Thakkar, et al.
Chemical Research in Toxicology|December 23, 2020
Impact of Sequencing Depth and Library Preparation on Toxicological Interpretation of RNA-Seq Data in a "Three-Sample" ScenarioDongying Li, Binsheng Gong, Joshua Xu, et al.
Pageof 36