Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Gabriel Idakwo

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Frontiers in Physiology|August 29, 2019
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay DataGabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|November 15, 2018
Target-specific toxicity knowledgebase (TsTKb): a novel toolkit for in silico predictive toxicologyYan Li, Gabriel Idakwo, Sundar Thangapandian, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|January 11, 2019
A review on machine learning methods for in silico toxicity predictionGabriel Idakwo, Joseph Luttrell, Minjun Chen, et al.
Journal of Cheminformatics|December 29, 2020
Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasetsGabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Frontiers in Physiology|August 29, 2019
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay DataGabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|November 15, 2018
Target-specific toxicity knowledgebase (TsTKb): a novel toolkit for in silico predictive toxicologyYan Li, Gabriel Idakwo, Sundar Thangapandian, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|January 11, 2019
A review on machine learning methods for in silico toxicity predictionGabriel Idakwo, Joseph Luttrell, Minjun Chen, et al.
Journal of Cheminformatics|December 29, 2020
Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasetsGabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, et al.
Pageof 1