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Weida Tong

Showing results (11-20 of 353) with videos related to

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Journal of Chemical Information and Computer Sciences|May 28, 2003
An approach to comparative analysis of chromatographic fingerprints for assuring the quality of botanical drugsYiyu Cheng, Minjun Chen, Weida Tong
Toxicological Sciences : an Official Journal of the Society of Toxicology|December 9, 2015
Discovery of Transcriptional Targets Regulated by Nuclear Receptors Using a Probabilistic Graphical ModelMikyung Lee, Ruili Huang, Weida Tong
Hepatology (Baltimore, Md.)|December 22, 2012
High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injuryMinjun Chen, Jürgen Borlak, Weida Tong
Expert Review of Gastroenterology & Hepatology|May 27, 2014
Predicting idiosyncratic drug-induced liver injury: some recent advancesMinjun Chen, Jürgen Borlak, Weida Tong
Drug Discovery Today|April 5, 2025
The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicityDong Wang, Ayako Suzuki, Weida Tong
Hepatology (Baltimore, Md.)|June 16, 2016
A Model to predict severity of drug-induced liver injury in humansMinjun Chen, Jürgen Borlak, Weida Tong
Genome Medicine|December 9, 2014
Deciphering miRNA transcription factor feed-forward loops to identify drug repurposing candidates for cystic fibrosisZhichao Liu, Jürgen Borlak, Weida Tong
NPJ Digital Medicine|November 5, 2024
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approachTing Li, Xi Chen, Weida Tong
NPJ Genomic Medicine|June 19, 2026
GANomics: bridging legacy and modern transcriptomic platforms for clinical applicationsLeihong Wu, Hadi Salman, Weida Tong
Environmental and Molecular Mutagenesis|June 15, 2007
QA/QC issues to aid regulatory acceptance of microarray gene expression dataJames C Fuscoe, Weida Tong, Leming Shi
Pageof 36

Showing results (11-20 of 353) with videos related to

Sort By:
Pageof 36
Journal of Chemical Information and Computer Sciences|May 28, 2003
An approach to comparative analysis of chromatographic fingerprints for assuring the quality of botanical drugsYiyu Cheng, Minjun Chen, Weida Tong
Toxicological Sciences : an Official Journal of the Society of Toxicology|December 9, 2015
Discovery of Transcriptional Targets Regulated by Nuclear Receptors Using a Probabilistic Graphical ModelMikyung Lee, Ruili Huang, Weida Tong
Hepatology (Baltimore, Md.)|December 22, 2012
High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injuryMinjun Chen, Jürgen Borlak, Weida Tong
Expert Review of Gastroenterology & Hepatology|May 27, 2014
Predicting idiosyncratic drug-induced liver injury: some recent advancesMinjun Chen, Jürgen Borlak, Weida Tong
Drug Discovery Today|April 5, 2025
The connection between Bayesian networks and adverse outcome pathway (AOP) networks and how to use it for predicting drug toxicityDong Wang, Ayako Suzuki, Weida Tong
Hepatology (Baltimore, Md.)|June 16, 2016
A Model to predict severity of drug-induced liver injury in humansMinjun Chen, Jürgen Borlak, Weida Tong
Genome Medicine|December 9, 2014
Deciphering miRNA transcription factor feed-forward loops to identify drug repurposing candidates for cystic fibrosisZhichao Liu, Jürgen Borlak, Weida Tong
NPJ Digital Medicine|November 5, 2024
Bridging organ transcriptomics for advancing multiple organ toxicity assessment with a generative AI approachTing Li, Xi Chen, Weida Tong
NPJ Genomic Medicine|June 19, 2026
GANomics: bridging legacy and modern transcriptomic platforms for clinical applicationsLeihong Wu, Hadi Salman, Weida Tong
Environmental and Molecular Mutagenesis|June 15, 2007
QA/QC issues to aid regulatory acceptance of microarray gene expression dataJames C Fuscoe, Weida Tong, Leming Shi
Pageof 36