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BMC Bioinformatics
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October 11, 2012
Investigating drug repositioning opportunities in FDA drug labels through topic modeling
Halil Bisgin, Zhichao Liu, Reagan Kelly, et al.
International Journal of Environmental Research and Public Health
|
August 26, 2022
NeuroCORD: A Language Model to Facilitate COVID-19-Associated Neurological Disorder Studies
Leihong Wu, Syed Ali, Heather Ali, et al.
Chemical Research in Toxicology
|
January 29, 2021
Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
Leihong Wu, Ruili Huang, Igor V Tetko, et al.
Drug Discovery Today
|
September 26, 2025
DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature review
AyoOluwa O Olubamiwa, Yanyan Qu, Skylar Connor, et al.
Precision Cancer Medicine
|
March 14, 2022
FDA-led consortium studies advance quality control of targeted next generation sequencing assays for precision oncology
Dan Li, Rebecca Kusko, Baitang Ning, et al.
Computational and Structural Biotechnology Journal
|
November 22, 2017
A Gene Module-Based eQTL Analysis Prioritizing Disease Genes and Pathways in Kidney Cancer
Mary Qu Yang, Dan Li, William Yang, et al.
Regulatory Toxicology and Pharmacology : RTP
|
February 23, 2020
Towards the development of an omics data analysis framework
Marcha Verheijen, Weida Tong, Leming Shi, et al.
Biomarkers in Medicine
|
February 14, 2014
Toward predictive models for drug-induced liver injury in humans: are we there yet?
Minjun Chen, Halil Bisgin, Lillian Tong, et al.
BMC Bioinformatics
|
November 23, 2006
Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of L5178Y mouse lymphoma cells
Tao Han, Jianyong Wang, Weida Tong, et al.
Regulatory Toxicology and Pharmacology : RTP
|
March 23, 2015
Genomics in the land of regulatory science
Weida Tong, Stephen Ostroff, Burton Blais, et al.
Page
of 36
Search research articles
Search
Showing results (131-140 of 353) with videos related to
Sort By:
Page
of 36
BMC Bioinformatics
|
October 11, 2012
Investigating drug repositioning opportunities in FDA drug labels through topic modeling
Halil Bisgin, Zhichao Liu, Reagan Kelly, et al.
International Journal of Environmental Research and Public Health
|
August 26, 2022
NeuroCORD: A Language Model to Facilitate COVID-19-Associated Neurological Disorder Studies
Leihong Wu, Syed Ali, Heather Ali, et al.
Chemical Research in Toxicology
|
January 29, 2021
Trade-off Predictivity and Explainability for Machine-Learning Powered Predictive Toxicology: An in-Depth Investigation with Tox21 Data Sets
Leihong Wu, Ruili Huang, Igor V Tetko, et al.
Drug Discovery Today
|
September 26, 2025
DILIrank 2.0: An updated and expanded database for drug-induced liver injury risk based on FDA labeling and a literature review
AyoOluwa O Olubamiwa, Yanyan Qu, Skylar Connor, et al.
Precision Cancer Medicine
|
March 14, 2022
FDA-led consortium studies advance quality control of targeted next generation sequencing assays for precision oncology
Dan Li, Rebecca Kusko, Baitang Ning, et al.
Computational and Structural Biotechnology Journal
|
November 22, 2017
A Gene Module-Based eQTL Analysis Prioritizing Disease Genes and Pathways in Kidney Cancer
Mary Qu Yang, Dan Li, William Yang, et al.
Regulatory Toxicology and Pharmacology : RTP
|
February 23, 2020
Towards the development of an omics data analysis framework
Marcha Verheijen, Weida Tong, Leming Shi, et al.
Biomarkers in Medicine
|
February 14, 2014
Toward predictive models for drug-induced liver injury in humans: are we there yet?
Minjun Chen, Halil Bisgin, Lillian Tong, et al.
BMC Bioinformatics
|
November 23, 2006
Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of L5178Y mouse lymphoma cells
Tao Han, Jianyong Wang, Weida Tong, et al.
Regulatory Toxicology and Pharmacology : RTP
|
March 23, 2015
Genomics in the land of regulatory science
Weida Tong, Stephen Ostroff, Burton Blais, et al.
Page
of 36