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Weigong Ge

Showing results (11-20 of 40) with videos related to

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BMC Bioinformatics|October 29, 2014
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonistsHui Wen Ng, Wenqian Zhang, Mao Shu, et al.
Experimental Biology and Medicine (Maywood, N.J.)|April 3, 2025
Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniquesJie Liu, Jerry Li, Zoe Li, et al.
Omics : a Journal of Integrative Biology|April 7, 2007
Self-self hybridization as an alternative experiment design to dye swap for two-color microarraysHong Fang, Xiaohui Fan, Lei Guo, et al.
Chemical Research in Toxicology|August 27, 2015
Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol A replacement compoundsHui Wen Ng, Mao Shu, Heng Luo, et al.
Journal of Chemical Information and Modeling|June 21, 2008
Mold(2), molecular descriptors from 2D structures for chemoinformatics and toxicoinformaticsHuixiao Hong, Qian Xie, Weigong Ge, et al.
International Journal of Environmental Research and Public Health|March 30, 2016
A Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental ChemicalsHuixiao Hong, Jie Shen, Hui Wen Ng, et al.
Journal of Genetics|December 23, 2015
Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap ConsortiumWenqian Zhang, Hui Wen Ng, Mao Shu, et al.
Experimental Biology and Medicine (Maywood, N.J.)|March 17, 2025
AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in womenLi Ma, Ru Chen, Weigong Ge, et al.
Experimental Biology and Medicine (Maywood, N.J.)|November 24, 2023
Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatmentJie Liu, Liang Xu, Wenjing Guo, et al.
The American Journal of Pathology|February 12, 2013
A unifying ontology to integrate histological and clinical observations for drug-induced liver injuryYuping Wang, Zhi Lin, Zhichao Liu, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
BMC Bioinformatics|October 29, 2014
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonistsHui Wen Ng, Wenqian Zhang, Mao Shu, et al.
Experimental Biology and Medicine (Maywood, N.J.)|April 3, 2025
Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniquesJie Liu, Jerry Li, Zoe Li, et al.
Omics : a Journal of Integrative Biology|April 7, 2007
Self-self hybridization as an alternative experiment design to dye swap for two-color microarraysHong Fang, Xiaohui Fan, Lei Guo, et al.
Chemical Research in Toxicology|August 27, 2015
Estrogenic activity data extraction and in silico prediction show the endocrine disruption potential of bisphenol A replacement compoundsHui Wen Ng, Mao Shu, Heng Luo, et al.
Journal of Chemical Information and Modeling|June 21, 2008
Mold(2), molecular descriptors from 2D structures for chemoinformatics and toxicoinformaticsHuixiao Hong, Qian Xie, Weigong Ge, et al.
International Journal of Environmental Research and Public Health|March 30, 2016
A Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental ChemicalsHuixiao Hong, Jie Shen, Hui Wen Ng, et al.
Journal of Genetics|December 23, 2015
Comparing genetic variants detected in the 1000 genomes project with SNPs determined by the International HapMap ConsortiumWenqian Zhang, Hui Wen Ng, Mao Shu, et al.
Experimental Biology and Medicine (Maywood, N.J.)|March 17, 2025
AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in womenLi Ma, Ru Chen, Weigong Ge, et al.
Experimental Biology and Medicine (Maywood, N.J.)|November 24, 2023
Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatmentJie Liu, Liang Xu, Wenjing Guo, et al.
The American Journal of Pathology|February 12, 2013
A unifying ontology to integrate histological and clinical observations for drug-induced liver injuryYuping Wang, Zhi Lin, Zhichao Liu, et al.
Pageof 4