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Weida Tong

Showing results (31-40 of 353) with videos related to

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Chemical Research in Toxicology|March 17, 2020
Computational ToxicologyNicole C Kleinstreuer, Weida Tong, Igor V Tetko
Drug Discovery Today|August 13, 2025
New approach methodologies (NAMs) for drug-induced liver injury (DILI): Where are we now?Shivangi Shrimali, Minjun Chen, Dongying Li, et al.
BMC Systems Biology|August 14, 2014
Of text and gene--using text mining methods to uncover hidden knowledge in toxicogenomicsMikyung Lee, Zhichao Liu, Reagan Kelly, et al.
Pharmaceutics|November 28, 2015
Alignment of Short Reads: A Crucial Step for Application of Next-Generation Sequencing Data in Precision MedicineHao Ye, Joe Meehan, Weida Tong, et al.
Trends in Pharmacological Sciences|July 16, 2017
Lessons Learned from Two Decades of Anticancer DrugsZhichao Liu, Brian Delavan, Ruth Roberts, et al.
Chemical Research in Toxicology|February 15, 2021
Introduction to Special Issue: Computational ToxicologyNicole C Kleinstreuer, Igor V Tetko, Weida Tong
Chemical Research in Toxicology|July 24, 2023
Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling DocumentsMagnus Gray, Joshua Xu, Weida Tong, et al.
Scientific Reports|April 6, 2016
Mechanistically linked serum miRNAs distinguish between drug induced and fatty liver disease of different gradesZhichao Liu, Yuping Wang, Jürgen Borlak, et al.
Frontiers in Genetics|February 23, 2018
Evaluation of Bioinformatics Approaches for Next-Generation Sequencing Analysis of microRNAs with a Toxicogenomics Study DesignHalil Bisgin, Binsheng Gong, Yuping Wang, et al.
Drug Discovery Today|April 26, 2026
Integrating in vitro and in silico NAMs for enhanced prediction of drug-induced liver injuryTing Li, Shivangi Shrimali, Yanyan Qu, et al.
Pageof 36

Showing results (31-40 of 353) with videos related to

Sort By:
Pageof 36
Chemical Research in Toxicology|March 17, 2020
Computational ToxicologyNicole C Kleinstreuer, Weida Tong, Igor V Tetko
Drug Discovery Today|August 13, 2025
New approach methodologies (NAMs) for drug-induced liver injury (DILI): Where are we now?Shivangi Shrimali, Minjun Chen, Dongying Li, et al.
BMC Systems Biology|August 14, 2014
Of text and gene--using text mining methods to uncover hidden knowledge in toxicogenomicsMikyung Lee, Zhichao Liu, Reagan Kelly, et al.
Pharmaceutics|November 28, 2015
Alignment of Short Reads: A Crucial Step for Application of Next-Generation Sequencing Data in Precision MedicineHao Ye, Joe Meehan, Weida Tong, et al.
Trends in Pharmacological Sciences|July 16, 2017
Lessons Learned from Two Decades of Anticancer DrugsZhichao Liu, Brian Delavan, Ruth Roberts, et al.
Chemical Research in Toxicology|February 15, 2021
Introduction to Special Issue: Computational ToxicologyNicole C Kleinstreuer, Igor V Tetko, Weida Tong
Chemical Research in Toxicology|July 24, 2023
Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling DocumentsMagnus Gray, Joshua Xu, Weida Tong, et al.
Scientific Reports|April 6, 2016
Mechanistically linked serum miRNAs distinguish between drug induced and fatty liver disease of different gradesZhichao Liu, Yuping Wang, Jürgen Borlak, et al.
Frontiers in Genetics|February 23, 2018
Evaluation of Bioinformatics Approaches for Next-Generation Sequencing Analysis of microRNAs with a Toxicogenomics Study DesignHalil Bisgin, Binsheng Gong, Yuping Wang, et al.
Drug Discovery Today|April 26, 2026
Integrating in vitro and in silico NAMs for enhanced prediction of drug-induced liver injuryTing Li, Shivangi Shrimali, Yanyan Qu, et al.
Pageof 36